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You searched for subject:(Adaptive Traffic Signal Control). Showing records 1 – 30 of 62087 total matches.

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Northeastern University

1. Halawani, Ahmed T. M. Using traffic signal control to better serve pedestrians and limit speeding on urban arterials: adaptive walk intervals and speeding opportunities.

Degree: PhD, Department of Civil and Environmental Engineering, 2018, Northeastern University

 Safe and efficient multimodal transportation system is a priority for many agencies around the world. Traffic signals, in practice, are commonly applied to regulate conflicts,… (more)

Subjects/Keywords: adaptive control; pedestrian; speed control; speeding; traffic signal control; traffic simulation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Halawani, A. T. M. (2018). Using traffic signal control to better serve pedestrians and limit speeding on urban arterials: adaptive walk intervals and speeding opportunities. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20292647

Chicago Manual of Style (16th Edition):

Halawani, Ahmed T M. “Using traffic signal control to better serve pedestrians and limit speeding on urban arterials: adaptive walk intervals and speeding opportunities.” 2018. Doctoral Dissertation, Northeastern University. Accessed October 23, 2019. http://hdl.handle.net/2047/D20292647.

MLA Handbook (7th Edition):

Halawani, Ahmed T M. “Using traffic signal control to better serve pedestrians and limit speeding on urban arterials: adaptive walk intervals and speeding opportunities.” 2018. Web. 23 Oct 2019.

Vancouver:

Halawani ATM. Using traffic signal control to better serve pedestrians and limit speeding on urban arterials: adaptive walk intervals and speeding opportunities. [Internet] [Doctoral dissertation]. Northeastern University; 2018. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/2047/D20292647.

Council of Science Editors:

Halawani ATM. Using traffic signal control to better serve pedestrians and limit speeding on urban arterials: adaptive walk intervals and speeding opportunities. [Doctoral Dissertation]. Northeastern University; 2018. Available from: http://hdl.handle.net/2047/D20292647


University of Arizona

2. Beak, Byungho. Systematic Analysis and Integrated Optimization of Traffic Signal Control Systems in a Connected Vehicle Environment .

Degree: 2017, University of Arizona

Traffic signal control systems have been tremendously improved since the first colored traffic signal light was installed in London in December 1868. There are many… (more)

Subjects/Keywords: Adaptive Signal Control; Connected Vehicle; Traffic Signal Coordination; Traffic Signal System; Transit Signal Priority

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APA (6th Edition):

Beak, B. (2017). Systematic Analysis and Integrated Optimization of Traffic Signal Control Systems in a Connected Vehicle Environment . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/626304

Chicago Manual of Style (16th Edition):

Beak, Byungho. “Systematic Analysis and Integrated Optimization of Traffic Signal Control Systems in a Connected Vehicle Environment .” 2017. Doctoral Dissertation, University of Arizona. Accessed October 23, 2019. http://hdl.handle.net/10150/626304.

MLA Handbook (7th Edition):

Beak, Byungho. “Systematic Analysis and Integrated Optimization of Traffic Signal Control Systems in a Connected Vehicle Environment .” 2017. Web. 23 Oct 2019.

Vancouver:

Beak B. Systematic Analysis and Integrated Optimization of Traffic Signal Control Systems in a Connected Vehicle Environment . [Internet] [Doctoral dissertation]. University of Arizona; 2017. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10150/626304.

Council of Science Editors:

Beak B. Systematic Analysis and Integrated Optimization of Traffic Signal Control Systems in a Connected Vehicle Environment . [Doctoral Dissertation]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/626304


University of Alberta

3. Liu, Gang. Development and Evaluation of Model-Based Adaptive Signal Control for Congested Arterial Traffic.

Degree: PhD, Department of Civil and Environmental Engineering, 2015, University of Alberta

 Under congested conditions, the road traffic states of different arterial links will interact with each other; therefore, it is necessary to understand the behavior of… (more)

Subjects/Keywords: Congested Arterial Traffic; Genetic Algorithm; Multiobjective Optimization; Adaptive Traffic Signal Control

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APA (6th Edition):

Liu, G. (2015). Development and Evaluation of Model-Based Adaptive Signal Control for Congested Arterial Traffic. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/tq57nt95j

Chicago Manual of Style (16th Edition):

Liu, Gang. “Development and Evaluation of Model-Based Adaptive Signal Control for Congested Arterial Traffic.” 2015. Doctoral Dissertation, University of Alberta. Accessed October 23, 2019. https://era.library.ualberta.ca/files/tq57nt95j.

MLA Handbook (7th Edition):

Liu, Gang. “Development and Evaluation of Model-Based Adaptive Signal Control for Congested Arterial Traffic.” 2015. Web. 23 Oct 2019.

Vancouver:

Liu G. Development and Evaluation of Model-Based Adaptive Signal Control for Congested Arterial Traffic. [Internet] [Doctoral dissertation]. University of Alberta; 2015. [cited 2019 Oct 23]. Available from: https://era.library.ualberta.ca/files/tq57nt95j.

Council of Science Editors:

Liu G. Development and Evaluation of Model-Based Adaptive Signal Control for Congested Arterial Traffic. [Doctoral Dissertation]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/tq57nt95j


University of New South Wales

4. Le, Tung Mai. An adaptive signal-vehicle cooperative control system.

Degree: Computer Science & Engineering, 2013, University of New South Wales

 In this thesis, we propose a fully cooperative control scheme that produces both effective traffic schedules for the traffic lights and suitable speeds for oncoming… (more)

Subjects/Keywords: Signal-vehicle communication; Approximate dynamic programming; Adaptive traffic control; Intelligent vehicles

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APA (6th Edition):

Le, T. M. (2013). An adaptive signal-vehicle cooperative control system. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52967 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11645/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Le, Tung Mai. “An adaptive signal-vehicle cooperative control system.” 2013. Doctoral Dissertation, University of New South Wales. Accessed October 23, 2019. http://handle.unsw.edu.au/1959.4/52967 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11645/SOURCE01?view=true.

MLA Handbook (7th Edition):

Le, Tung Mai. “An adaptive signal-vehicle cooperative control system.” 2013. Web. 23 Oct 2019.

Vancouver:

Le TM. An adaptive signal-vehicle cooperative control system. [Internet] [Doctoral dissertation]. University of New South Wales; 2013. [cited 2019 Oct 23]. Available from: http://handle.unsw.edu.au/1959.4/52967 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11645/SOURCE01?view=true.

Council of Science Editors:

Le TM. An adaptive signal-vehicle cooperative control system. [Doctoral Dissertation]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/52967 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11645/SOURCE01?view=true


Indian Institute of Science

5. Prashanth, L A. Resource Allocation for Sequential Decision Making Under Uncertainaty : Studies in Vehicular Traffic Control, Service Systems, Sensor Networks and Mechanism Design.

Degree: 2013, Indian Institute of Science

 A fundamental question in a sequential decision making setting under uncertainty is “how to allocate resources amongst competing entities so as to maximize the rewards… (more)

Subjects/Keywords: Vehicular Traffic Control; Service Systems; Sensor Networks; Mechanism Design; Traffic Signal Control - Q-Learning; Traffic Signal Control; Signal Control - Threshold Tuning; Traffic Light Control Algorithm; Adaptive Labor Staffing; Sleep-Wake Scheduling Algorithms; Reinforcement Learning; Vehicular Control; Graded Signal Control; Adaptive Sleep–wake Control; Computer Science

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APA (6th Edition):

Prashanth, L. A. (2013). Resource Allocation for Sequential Decision Making Under Uncertainaty : Studies in Vehicular Traffic Control, Service Systems, Sensor Networks and Mechanism Design. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/2810

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Prashanth, L A. “Resource Allocation for Sequential Decision Making Under Uncertainaty : Studies in Vehicular Traffic Control, Service Systems, Sensor Networks and Mechanism Design.” 2013. Thesis, Indian Institute of Science. Accessed October 23, 2019. http://hdl.handle.net/2005/2810.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Prashanth, L A. “Resource Allocation for Sequential Decision Making Under Uncertainaty : Studies in Vehicular Traffic Control, Service Systems, Sensor Networks and Mechanism Design.” 2013. Web. 23 Oct 2019.

Vancouver:

Prashanth LA. Resource Allocation for Sequential Decision Making Under Uncertainaty : Studies in Vehicular Traffic Control, Service Systems, Sensor Networks and Mechanism Design. [Internet] [Thesis]. Indian Institute of Science; 2013. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/2005/2810.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Prashanth LA. Resource Allocation for Sequential Decision Making Under Uncertainaty : Studies in Vehicular Traffic Control, Service Systems, Sensor Networks and Mechanism Design. [Thesis]. Indian Institute of Science; 2013. Available from: http://hdl.handle.net/2005/2810

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


McMaster University

6. Genders, Wade. Deep Reinforcement Learning Adaptive Traffic Signal Control.

Degree: PhD, 2018, McMaster University

Sub-optimal automated transportation control systems incur high mobility, human health and environmental costs. With society reliant on its transportation systems for the movement of individuals,… (more)

Subjects/Keywords: deep reinforcement learning adaptive traffic signal control; reinforcement learning traffic signal control; intelligent transportation systems; machine learning; machine learning transportation; machine learning traffic signal control; artificial intelligence; artificial intelligence transportation; deep learning; deep neural networks; traffic optimization; adaptive traffic signal control; machine learning engineering

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APA (6th Edition):

Genders, W. (2018). Deep Reinforcement Learning Adaptive Traffic Signal Control. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/23856

Chicago Manual of Style (16th Edition):

Genders, Wade. “Deep Reinforcement Learning Adaptive Traffic Signal Control.” 2018. Doctoral Dissertation, McMaster University. Accessed October 23, 2019. http://hdl.handle.net/11375/23856.

MLA Handbook (7th Edition):

Genders, Wade. “Deep Reinforcement Learning Adaptive Traffic Signal Control.” 2018. Web. 23 Oct 2019.

Vancouver:

Genders W. Deep Reinforcement Learning Adaptive Traffic Signal Control. [Internet] [Doctoral dissertation]. McMaster University; 2018. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/11375/23856.

Council of Science Editors:

Genders W. Deep Reinforcement Learning Adaptive Traffic Signal Control. [Doctoral Dissertation]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/23856


University of Cincinnati

7. Rajvanshi, Kshitij. Multi-Modal Smart Traffic Signal Control Using Connected Vehicles.

Degree: MS, Engineering and Applied Science: Computer Science, 2016, University of Cincinnati

 As the technology is advancing day by day, the intelligent transportation industry is also experiencing a advancement in vehicle communication technology. The future for the… (more)

Subjects/Keywords: Computer Science; Adaptive traffic control signal; Connected vehicle; Multi-objective Bat-Inspired algorithm; Vehicle platoons

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APA (6th Edition):

Rajvanshi, K. (2016). Multi-Modal Smart Traffic Signal Control Using Connected Vehicles. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin147981730919519

Chicago Manual of Style (16th Edition):

Rajvanshi, Kshitij. “Multi-Modal Smart Traffic Signal Control Using Connected Vehicles.” 2016. Masters Thesis, University of Cincinnati. Accessed October 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin147981730919519.

MLA Handbook (7th Edition):

Rajvanshi, Kshitij. “Multi-Modal Smart Traffic Signal Control Using Connected Vehicles.” 2016. Web. 23 Oct 2019.

Vancouver:

Rajvanshi K. Multi-Modal Smart Traffic Signal Control Using Connected Vehicles. [Internet] [Masters thesis]. University of Cincinnati; 2016. [cited 2019 Oct 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin147981730919519.

Council of Science Editors:

Rajvanshi K. Multi-Modal Smart Traffic Signal Control Using Connected Vehicles. [Masters Thesis]. University of Cincinnati; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin147981730919519


University of Texas – Austin

8. -6640-7362. A data-driven methodology for prioritizing traffic signal retiming operations.

Degree: MSin Engineering, Civil Engineering, 2019, University of Texas – Austin

Signal retiming is one of the chief responsibilities of municipal transportation agencies and is an important means for reducing congestion and improving transportation quality and… (more)

Subjects/Keywords: Ranking; Prioritization; Traffic signal retiming; Operations; Corridor performance; Probe vehicle data; Adaptive signal control; Candidate corridors

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APA (6th Edition):

-6640-7362. (2019). A data-driven methodology for prioritizing traffic signal retiming operations. (Masters Thesis). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/1480

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-6640-7362. “A data-driven methodology for prioritizing traffic signal retiming operations.” 2019. Masters Thesis, University of Texas – Austin. Accessed October 23, 2019. http://dx.doi.org/10.26153/tsw/1480.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-6640-7362. “A data-driven methodology for prioritizing traffic signal retiming operations.” 2019. Web. 23 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-6640-7362. A data-driven methodology for prioritizing traffic signal retiming operations. [Internet] [Masters thesis]. University of Texas – Austin; 2019. [cited 2019 Oct 23]. Available from: http://dx.doi.org/10.26153/tsw/1480.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-6640-7362. A data-driven methodology for prioritizing traffic signal retiming operations. [Masters Thesis]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/1480

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Hong Kong University of Science and Technology

9. Xiao, Lin. Traffic management through adaptive control methods.

Degree: 2013, Hong Kong University of Science and Technology

 There are mainly two angles of view to investigate the traffic system, either from the view of traffic management, or from the view of individual… (more)

Subjects/Keywords: Traffic engineering; Adaptive control systems; Electronic traffic controls; Traffic flow

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APA (6th Edition):

Xiao, L. (2013). Traffic management through adaptive control methods. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1251902 ; http://repository.ust.hk/ir/bitstream/1783.1-61596/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xiao, Lin. “Traffic management through adaptive control methods.” 2013. Thesis, Hong Kong University of Science and Technology. Accessed October 23, 2019. https://doi.org/10.14711/thesis-b1251902 ; http://repository.ust.hk/ir/bitstream/1783.1-61596/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xiao, Lin. “Traffic management through adaptive control methods.” 2013. Web. 23 Oct 2019.

Vancouver:

Xiao L. Traffic management through adaptive control methods. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2013. [cited 2019 Oct 23]. Available from: https://doi.org/10.14711/thesis-b1251902 ; http://repository.ust.hk/ir/bitstream/1783.1-61596/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xiao L. Traffic management through adaptive control methods. [Thesis]. Hong Kong University of Science and Technology; 2013. Available from: https://doi.org/10.14711/thesis-b1251902 ; http://repository.ust.hk/ir/bitstream/1783.1-61596/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

10. Eduardo AraÃjo de Aquino. ValidaÃÃo do modelo mesoscÃpico de trÃfego do scoot para o desenvolvimento de redes viÃrias urbanas microssimuladas.

Degree: Master, 2012, Universidade Federal do Ceará

Um das maiores dificuldades na construÃÃo de redes viÃrias urbanas microssimuladas reside na coleta dos dados de trÃfego para as fases de calibraÃÃo e validaÃÃo.… (more)

Subjects/Keywords: PLANEJAMENTO DE TRANSPORTES; Engenharia de transportes; TrÃnsito urbano; Engenharia de trÃfego; MÃtodos de simulaÃÃo; Urban Traffic Simulation; Urban Traffic Modelling; Adaptive Signal Control; SCOOT

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APA (6th Edition):

Aquino, E. A. d. (2012). ValidaÃÃo do modelo mesoscÃpico de trÃfego do scoot para o desenvolvimento de redes viÃrias urbanas microssimuladas. (Masters Thesis). Universidade Federal do Ceará. Retrieved from http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=11054 ;

Chicago Manual of Style (16th Edition):

Aquino, Eduardo AraÃjo de. “ValidaÃÃo do modelo mesoscÃpico de trÃfego do scoot para o desenvolvimento de redes viÃrias urbanas microssimuladas.” 2012. Masters Thesis, Universidade Federal do Ceará. Accessed October 23, 2019. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=11054 ;.

MLA Handbook (7th Edition):

Aquino, Eduardo AraÃjo de. “ValidaÃÃo do modelo mesoscÃpico de trÃfego do scoot para o desenvolvimento de redes viÃrias urbanas microssimuladas.” 2012. Web. 23 Oct 2019.

Vancouver:

Aquino EAd. ValidaÃÃo do modelo mesoscÃpico de trÃfego do scoot para o desenvolvimento de redes viÃrias urbanas microssimuladas. [Internet] [Masters thesis]. Universidade Federal do Ceará 2012. [cited 2019 Oct 23]. Available from: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=11054 ;.

Council of Science Editors:

Aquino EAd. ValidaÃÃo do modelo mesoscÃpico de trÃfego do scoot para o desenvolvimento de redes viÃrias urbanas microssimuladas. [Masters Thesis]. Universidade Federal do Ceará 2012. Available from: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=11054 ;


University of California – Berkeley

11. Anderson, Leah Adrian. Data-Driven Methods for Improved Estimation and Control of an Urban Arterial Traffic Network.

Degree: Civil and Environmental Engineering, 2015, University of California – Berkeley

 Transportation is a field which is universal in our society: people from every country, culture or background are familiar with the challenges of getting around… (more)

Subjects/Keywords: Civil engineering; Arterial Traffic; Traffic Flows; Traffic Signal Control; Transportation Engineering

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APA (6th Edition):

Anderson, L. A. (2015). Data-Driven Methods for Improved Estimation and Control of an Urban Arterial Traffic Network. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/1j55j6vs

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Anderson, Leah Adrian. “Data-Driven Methods for Improved Estimation and Control of an Urban Arterial Traffic Network.” 2015. Thesis, University of California – Berkeley. Accessed October 23, 2019. http://www.escholarship.org/uc/item/1j55j6vs.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Anderson, Leah Adrian. “Data-Driven Methods for Improved Estimation and Control of an Urban Arterial Traffic Network.” 2015. Web. 23 Oct 2019.

Vancouver:

Anderson LA. Data-Driven Methods for Improved Estimation and Control of an Urban Arterial Traffic Network. [Internet] [Thesis]. University of California – Berkeley; 2015. [cited 2019 Oct 23]. Available from: http://www.escholarship.org/uc/item/1j55j6vs.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Anderson LA. Data-Driven Methods for Improved Estimation and Control of an Urban Arterial Traffic Network. [Thesis]. University of California – Berkeley; 2015. Available from: http://www.escholarship.org/uc/item/1j55j6vs

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

12. Hart-Bishop, Jordan. Advanced Traffic Signal Control Using Bluetooth Detectors.

Degree: 2018, University of Waterloo

 Traditionally signal timing plans are developed for expected traffic demands at an intersection. This approach generally offers the best operation for typical conditions. However, when… (more)

Subjects/Keywords: Traffic Signals; Traffic Responsive Signal Control; Bluetooth Detectors; Traffic Operations

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APA (6th Edition):

Hart-Bishop, J. (2018). Advanced Traffic Signal Control Using Bluetooth Detectors. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/13037

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hart-Bishop, Jordan. “Advanced Traffic Signal Control Using Bluetooth Detectors.” 2018. Thesis, University of Waterloo. Accessed October 23, 2019. http://hdl.handle.net/10012/13037.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hart-Bishop, Jordan. “Advanced Traffic Signal Control Using Bluetooth Detectors.” 2018. Web. 23 Oct 2019.

Vancouver:

Hart-Bishop J. Advanced Traffic Signal Control Using Bluetooth Detectors. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10012/13037.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hart-Bishop J. Advanced Traffic Signal Control Using Bluetooth Detectors. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/13037

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

13. Gharat, Asmita. Bluetooth based dynamic critical route volume estimation on signalized arterials.

Degree: MS, Civil Engineering, 2011, Virginia Tech

 Bluetooth Data collection technique is recently proven as a reliable data collection technique that provides the opportunity to modify traditional methodologies to improve system performance.… (more)

Subjects/Keywords: Traffic Signal Control; Bluetooth data; Origin Destination

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APA (6th Edition):

Gharat, A. (2011). Bluetooth based dynamic critical route volume estimation on signalized arterials. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/76871

Chicago Manual of Style (16th Edition):

Gharat, Asmita. “Bluetooth based dynamic critical route volume estimation on signalized arterials.” 2011. Masters Thesis, Virginia Tech. Accessed October 23, 2019. http://hdl.handle.net/10919/76871.

MLA Handbook (7th Edition):

Gharat, Asmita. “Bluetooth based dynamic critical route volume estimation on signalized arterials.” 2011. Web. 23 Oct 2019.

Vancouver:

Gharat A. Bluetooth based dynamic critical route volume estimation on signalized arterials. [Internet] [Masters thesis]. Virginia Tech; 2011. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10919/76871.

Council of Science Editors:

Gharat A. Bluetooth based dynamic critical route volume estimation on signalized arterials. [Masters Thesis]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/76871


Virginia Tech

14. Dwivedi, Pooja Bimalkant. Study and Evaluation of IntelliDrive Technology for Traffic Responsive Control Strategies.

Degree: MS, Civil Engineering, 2010, Virginia Tech

 IntelliDrive is an initiative developed by United States Department of Transportation (USDOT) that aims to enable safe, interoperable networked wireless communications among vehicles, the infrastructure,… (more)

Subjects/Keywords: IntelliDrive; VISSIM; Traffic Rsponsive; Signal Control

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APA (6th Edition):

Dwivedi, P. B. (2010). Study and Evaluation of IntelliDrive Technology for Traffic Responsive Control Strategies. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/76929

Chicago Manual of Style (16th Edition):

Dwivedi, Pooja Bimalkant. “Study and Evaluation of IntelliDrive Technology for Traffic Responsive Control Strategies.” 2010. Masters Thesis, Virginia Tech. Accessed October 23, 2019. http://hdl.handle.net/10919/76929.

MLA Handbook (7th Edition):

Dwivedi, Pooja Bimalkant. “Study and Evaluation of IntelliDrive Technology for Traffic Responsive Control Strategies.” 2010. Web. 23 Oct 2019.

Vancouver:

Dwivedi PB. Study and Evaluation of IntelliDrive Technology for Traffic Responsive Control Strategies. [Internet] [Masters thesis]. Virginia Tech; 2010. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10919/76929.

Council of Science Editors:

Dwivedi PB. Study and Evaluation of IntelliDrive Technology for Traffic Responsive Control Strategies. [Masters Thesis]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/76929


University of California – Riverside

15. Kari, David. Adaptive/Optimal Vehicle Infrastructure Integration With Intelligent Vehicles and Environmentally-Friendly Continuous Flow Network Design.

Degree: Electrical Engineering, 2016, University of California – Riverside

 The American transportation system faces unprecedented challenges today and will face even more significant challenges in the near future. According to Texas A&M’s 2012 Urban… (more)

Subjects/Keywords: Electrical engineering; Automotive engineering; Environmental engineering; Cooperative Adaptive Cruise Control; Environmentally-Friendly; Intelligent Transportation Systems; Intelligent Vehicles; Optimal Signal Control; Urban Traffic Network Design

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APA (6th Edition):

Kari, D. (2016). Adaptive/Optimal Vehicle Infrastructure Integration With Intelligent Vehicles and Environmentally-Friendly Continuous Flow Network Design. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/5rp8s72j

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kari, David. “Adaptive/Optimal Vehicle Infrastructure Integration With Intelligent Vehicles and Environmentally-Friendly Continuous Flow Network Design.” 2016. Thesis, University of California – Riverside. Accessed October 23, 2019. http://www.escholarship.org/uc/item/5rp8s72j.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kari, David. “Adaptive/Optimal Vehicle Infrastructure Integration With Intelligent Vehicles and Environmentally-Friendly Continuous Flow Network Design.” 2016. Web. 23 Oct 2019.

Vancouver:

Kari D. Adaptive/Optimal Vehicle Infrastructure Integration With Intelligent Vehicles and Environmentally-Friendly Continuous Flow Network Design. [Internet] [Thesis]. University of California – Riverside; 2016. [cited 2019 Oct 23]. Available from: http://www.escholarship.org/uc/item/5rp8s72j.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kari D. Adaptive/Optimal Vehicle Infrastructure Integration With Intelligent Vehicles and Environmentally-Friendly Continuous Flow Network Design. [Thesis]. University of California – Riverside; 2016. Available from: http://www.escholarship.org/uc/item/5rp8s72j

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

16. Petres, D. Coordination in an Adaptive Traffic Signal Control System:.

Degree: 2012, Delft University of Technology

 Coordination between the intersections is used in traffic signal control for quite a long time. The objective of this thesis is to determine how beneficial… (more)

Subjects/Keywords: network coordination; adaptive signal control; multi-agent traffic control

…22 3.1. Traffic adaptive signal control… …this field the adaptive traffic signal control which is the topic of this thesis. Chapter 2… …After having a brief introduction to the field of traffic signal control and the adaptive… …analysis of adaptive traffic signal control *Simulation result; **The test network used consisted… …4 1.2. Macro and microscopic approach of traffic signal control… 

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APA (6th Edition):

Petres, D. (2012). Coordination in an Adaptive Traffic Signal Control System:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:7a436467-16d1-4ef6-91bc-776a0c69cd25

Chicago Manual of Style (16th Edition):

Petres, D. “Coordination in an Adaptive Traffic Signal Control System:.” 2012. Masters Thesis, Delft University of Technology. Accessed October 23, 2019. http://resolver.tudelft.nl/uuid:7a436467-16d1-4ef6-91bc-776a0c69cd25.

MLA Handbook (7th Edition):

Petres, D. “Coordination in an Adaptive Traffic Signal Control System:.” 2012. Web. 23 Oct 2019.

Vancouver:

Petres D. Coordination in an Adaptive Traffic Signal Control System:. [Internet] [Masters thesis]. Delft University of Technology; 2012. [cited 2019 Oct 23]. Available from: http://resolver.tudelft.nl/uuid:7a436467-16d1-4ef6-91bc-776a0c69cd25.

Council of Science Editors:

Petres D. Coordination in an Adaptive Traffic Signal Control System:. [Masters Thesis]. Delft University of Technology; 2012. Available from: http://resolver.tudelft.nl/uuid:7a436467-16d1-4ef6-91bc-776a0c69cd25


University of Hong Kong

17. 李丞賢; Lee, Seunghyeon. Group-based approach to adaptive traffic-signal control.

Degree: PhD, 2016, University of Hong Kong

 A group-based adaptive traffic-control method for isolated signalized junctions is developed in which an hierarchical structure is created, consisting of tactical and local levels of… (more)

Subjects/Keywords: Electronic traffic controls; Traffic signs and signals; Adaptive control systems

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APA (6th Edition):

李丞賢; Lee, S. (2016). Group-based approach to adaptive traffic-signal control. (Doctoral Dissertation). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/238884

Chicago Manual of Style (16th Edition):

李丞賢; Lee, Seunghyeon. “Group-based approach to adaptive traffic-signal control.” 2016. Doctoral Dissertation, University of Hong Kong. Accessed October 23, 2019. http://hdl.handle.net/10722/238884.

MLA Handbook (7th Edition):

李丞賢; Lee, Seunghyeon. “Group-based approach to adaptive traffic-signal control.” 2016. Web. 23 Oct 2019.

Vancouver:

李丞賢; Lee S. Group-based approach to adaptive traffic-signal control. [Internet] [Doctoral dissertation]. University of Hong Kong; 2016. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10722/238884.

Council of Science Editors:

李丞賢; Lee S. Group-based approach to adaptive traffic-signal control. [Doctoral Dissertation]. University of Hong Kong; 2016. Available from: http://hdl.handle.net/10722/238884

18. Juliana Carla Coelho. Analysis of the impacts on traffic resulting from the application of the studied traffic implementation methodologies: case in the city of Fortaleza-CE.

Degree: Master, 2011, Universidade Federal do Ceará

A utilizaÃÃo de mecanismos que auxiliem a tomada de decisÃo à cada vem mais difundida no meio tÃcnico, o uso destes ferramentais por Engenheiros de… (more)

Subjects/Keywords: ENGENHARIA DE TRANSPORTES; SemÃforos; Traffic; Sinal de trÃnsito; Controle semafÃrico; Engenharia de trÃfego; Traffic signal; Traffic signal control; Traffic engineering

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APA (6th Edition):

Coelho, J. C. (2011). Analysis of the impacts on traffic resulting from the application of the studied traffic implementation methodologies: case in the city of Fortaleza-CE. (Masters Thesis). Universidade Federal do Ceará. Retrieved from http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16463 ;

Chicago Manual of Style (16th Edition):

Coelho, Juliana Carla. “Analysis of the impacts on traffic resulting from the application of the studied traffic implementation methodologies: case in the city of Fortaleza-CE.” 2011. Masters Thesis, Universidade Federal do Ceará. Accessed October 23, 2019. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16463 ;.

MLA Handbook (7th Edition):

Coelho, Juliana Carla. “Analysis of the impacts on traffic resulting from the application of the studied traffic implementation methodologies: case in the city of Fortaleza-CE.” 2011. Web. 23 Oct 2019.

Vancouver:

Coelho JC. Analysis of the impacts on traffic resulting from the application of the studied traffic implementation methodologies: case in the city of Fortaleza-CE. [Internet] [Masters thesis]. Universidade Federal do Ceará 2011. [cited 2019 Oct 23]. Available from: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16463 ;.

Council of Science Editors:

Coelho JC. Analysis of the impacts on traffic resulting from the application of the studied traffic implementation methodologies: case in the city of Fortaleza-CE. [Masters Thesis]. Universidade Federal do Ceará 2011. Available from: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16463 ;


Penn State University

19. Fang, Fang. OPTIMAL ADAPTIVE SIGNAL CONTROL FOR.

Degree: PhD, Civil Engineering, 2004, Penn State University

 The signalization of two closely spaced intersections in interchanges presents a major challenge in providing efficient traffic operations within the highway system. In current practice,… (more)

Subjects/Keywords: Signal Optimization; Diamond Interchanges; Dynamic Programming; Traffic Simulation; Adaptive Signal Control; ITS (Intelligent Transportation Systems); Real-time Signal Control

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APA (6th Edition):

Fang, F. (2004). OPTIMAL ADAPTIVE SIGNAL CONTROL FOR. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/6297

Chicago Manual of Style (16th Edition):

Fang, Fang. “OPTIMAL ADAPTIVE SIGNAL CONTROL FOR.” 2004. Doctoral Dissertation, Penn State University. Accessed October 23, 2019. https://etda.libraries.psu.edu/catalog/6297.

MLA Handbook (7th Edition):

Fang, Fang. “OPTIMAL ADAPTIVE SIGNAL CONTROL FOR.” 2004. Web. 23 Oct 2019.

Vancouver:

Fang F. OPTIMAL ADAPTIVE SIGNAL CONTROL FOR. [Internet] [Doctoral dissertation]. Penn State University; 2004. [cited 2019 Oct 23]. Available from: https://etda.libraries.psu.edu/catalog/6297.

Council of Science Editors:

Fang F. OPTIMAL ADAPTIVE SIGNAL CONTROL FOR. [Doctoral Dissertation]. Penn State University; 2004. Available from: https://etda.libraries.psu.edu/catalog/6297

20. Xie, Yuanchang. Development and evaluation of an arterial adaptive traffic signal control system using reinforcement learning.

Degree: 2009, Texas A&M University

 This dissertation develops and evaluates a new adaptive traffic signal control system for arterials. This control system is based on reinforcement learning, which is an… (more)

Subjects/Keywords: Reinforcement Learning; Adaptive Traffic Signal Control; Arterial; Dynamic Programming; Agent

Adaptive signal control, which adjusts signal timing parameters in response to real-time traffic… …Transportation Research Record. 2 However, many existing adaptive traffic signal control systems are… …algorithms used in some of the existing adaptive 3 traffic signal control systems. Also, it is… …logic control are also reviewed. The review focuses on adaptive traffic signal control methods… …ADAPTIVE SIGNAL CONTROL In the following sections, a number of well known adaptive traffic signal… 

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APA (6th Edition):

Xie, Y. (2009). Development and evaluation of an arterial adaptive traffic signal control system using reinforcement learning. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2480

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Xie, Yuanchang. “Development and evaluation of an arterial adaptive traffic signal control system using reinforcement learning.” 2009. Thesis, Texas A&M University. Accessed October 23, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2480.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Xie, Yuanchang. “Development and evaluation of an arterial adaptive traffic signal control system using reinforcement learning.” 2009. Web. 23 Oct 2019.

Vancouver:

Xie Y. Development and evaluation of an arterial adaptive traffic signal control system using reinforcement learning. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2480.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xie Y. Development and evaluation of an arterial adaptive traffic signal control system using reinforcement learning. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2480

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

21. Corey, Jonathan. Swarm-Intelligence Based Adaptive Signal System.

Degree: PhD, 2014, University of Washington

 With over 300,000 traffic signals in the United States, it is important to everyone that those traffic signals operate optimally. Unfortunately, according to the Institute… (more)

Subjects/Keywords: Adaptive Traffic Signal Control; Swarm-Intelligence; Civil engineering; civil engineering

…22 2.3 Adaptive Traffic Signal Control… …of day, weekends and special events. Adaptive Traffic Signal Control (ATSC)… …tested scenarios. New approaches to tailoring traffic signal control optimization strategies to… …traffic signal control systems. Future STATICS analytical modules may include estimating… …Mike Whitaker and Mark Poch for their insight into traffic signal control and its associated… 

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APA (6th Edition):

Corey, J. (2014). Swarm-Intelligence Based Adaptive Signal System. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/26522

Chicago Manual of Style (16th Edition):

Corey, Jonathan. “Swarm-Intelligence Based Adaptive Signal System.” 2014. Doctoral Dissertation, University of Washington. Accessed October 23, 2019. http://hdl.handle.net/1773/26522.

MLA Handbook (7th Edition):

Corey, Jonathan. “Swarm-Intelligence Based Adaptive Signal System.” 2014. Web. 23 Oct 2019.

Vancouver:

Corey J. Swarm-Intelligence Based Adaptive Signal System. [Internet] [Doctoral dissertation]. University of Washington; 2014. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1773/26522.

Council of Science Editors:

Corey J. Swarm-Intelligence Based Adaptive Signal System. [Doctoral Dissertation]. University of Washington; 2014. Available from: http://hdl.handle.net/1773/26522


University of Arizona

22. Feng, Yiheng. Intelligent Traffic Control in a Connected Vehicle Environment .

Degree: 2015, University of Arizona

Signal control systems have experienced tremendous development both in hardware and in control strategies in the past 50 years since the advent of the first… (more)

Subjects/Keywords: Mathematical Optimization; Traffic Flow; Traffic Signal Control; Traffic Simulation; Systems & Industrial Engineering; Connected Vehicle

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APA (6th Edition):

Feng, Y. (2015). Intelligent Traffic Control in a Connected Vehicle Environment . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/578411

Chicago Manual of Style (16th Edition):

Feng, Yiheng. “Intelligent Traffic Control in a Connected Vehicle Environment .” 2015. Doctoral Dissertation, University of Arizona. Accessed October 23, 2019. http://hdl.handle.net/10150/578411.

MLA Handbook (7th Edition):

Feng, Yiheng. “Intelligent Traffic Control in a Connected Vehicle Environment .” 2015. Web. 23 Oct 2019.

Vancouver:

Feng Y. Intelligent Traffic Control in a Connected Vehicle Environment . [Internet] [Doctoral dissertation]. University of Arizona; 2015. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/10150/578411.

Council of Science Editors:

Feng Y. Intelligent Traffic Control in a Connected Vehicle Environment . [Doctoral Dissertation]. University of Arizona; 2015. Available from: http://hdl.handle.net/10150/578411


Florida Atlantic University

23. Al shayeb, Suhaib. EVALUATION OF THEORETICAL AND PRACTICAL SIGNAL OPTIMIZATION TOOLS IN MICROSIMULATION ENVIRONMENT.

Degree: MS, 2019, Florida Atlantic University

Traffic simulation and signal timing optimization are classified in structure into two main categories: (i) Macroscopic or Microscopic; (ii) Deterministic or Stochastic. Performance of the… (more)

Subjects/Keywords: Traffic simulation; Traffic signal timing; Microsimulation; Traffic signs and signals – Automatic control

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APA (6th Edition):

Al shayeb, S. (2019). EVALUATION OF THEORETICAL AND PRACTICAL SIGNAL OPTIMIZATION TOOLS IN MICROSIMULATION ENVIRONMENT. (Masters Thesis). Florida Atlantic University. Retrieved from http://fau.digital.flvc.org/islandora/object/fau:41903

Chicago Manual of Style (16th Edition):

Al shayeb, Suhaib. “EVALUATION OF THEORETICAL AND PRACTICAL SIGNAL OPTIMIZATION TOOLS IN MICROSIMULATION ENVIRONMENT.” 2019. Masters Thesis, Florida Atlantic University. Accessed October 23, 2019. http://fau.digital.flvc.org/islandora/object/fau:41903.

MLA Handbook (7th Edition):

Al shayeb, Suhaib. “EVALUATION OF THEORETICAL AND PRACTICAL SIGNAL OPTIMIZATION TOOLS IN MICROSIMULATION ENVIRONMENT.” 2019. Web. 23 Oct 2019.

Vancouver:

Al shayeb S. EVALUATION OF THEORETICAL AND PRACTICAL SIGNAL OPTIMIZATION TOOLS IN MICROSIMULATION ENVIRONMENT. [Internet] [Masters thesis]. Florida Atlantic University; 2019. [cited 2019 Oct 23]. Available from: http://fau.digital.flvc.org/islandora/object/fau:41903.

Council of Science Editors:

Al shayeb S. EVALUATION OF THEORETICAL AND PRACTICAL SIGNAL OPTIMIZATION TOOLS IN MICROSIMULATION ENVIRONMENT. [Masters Thesis]. Florida Atlantic University; 2019. Available from: http://fau.digital.flvc.org/islandora/object/fau:41903


Texas A&M University

24. Sun, Xin. Person-based Adaptive Priority Signal Control with Connected-vehicle Information.

Degree: 2014, Texas A&M University

 This thesis proposes a TSP (transit signal priority) strategy of person-based adaptive priority signal control with connected-vehicle information (PAPSCCI). By minimizing the total person delay… (more)

Subjects/Keywords: Transit signal priority; Connected-vehicle technology; Adaptive signal control

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APA (6th Edition):

Sun, X. (2014). Person-based Adaptive Priority Signal Control with Connected-vehicle Information. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/154125

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sun, Xin. “Person-based Adaptive Priority Signal Control with Connected-vehicle Information.” 2014. Thesis, Texas A&M University. Accessed October 23, 2019. http://hdl.handle.net/1969.1/154125.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sun, Xin. “Person-based Adaptive Priority Signal Control with Connected-vehicle Information.” 2014. Web. 23 Oct 2019.

Vancouver:

Sun X. Person-based Adaptive Priority Signal Control with Connected-vehicle Information. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/1969.1/154125.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sun X. Person-based Adaptive Priority Signal Control with Connected-vehicle Information. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/154125

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Lund

25. Nilsson, Gustav. On Robust Distributed Control of Transportation Networks.

Degree: 2019, University of Lund

 With the ever-growing traffic demands, the transportation networks are getting more and more congested. While expanding these networks with more roads is both costly and… (more)

Subjects/Keywords: Reglerteknik; Traffic Signal Control; Distributed Control; Routing; Transportation Networks; Network Flows

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APA (6th Edition):

Nilsson, G. (2019). On Robust Distributed Control of Transportation Networks. (Doctoral Dissertation). University of Lund. Retrieved from http://lup.lub.lu.se/record/09c366e7-2e30-4a34-b424-2c16fa613260 ; http://portal.research.lu.se/ws/files/57069962/GustavNilssonPhDThesis.pdf

Chicago Manual of Style (16th Edition):

Nilsson, Gustav. “On Robust Distributed Control of Transportation Networks.” 2019. Doctoral Dissertation, University of Lund. Accessed October 23, 2019. http://lup.lub.lu.se/record/09c366e7-2e30-4a34-b424-2c16fa613260 ; http://portal.research.lu.se/ws/files/57069962/GustavNilssonPhDThesis.pdf.

MLA Handbook (7th Edition):

Nilsson, Gustav. “On Robust Distributed Control of Transportation Networks.” 2019. Web. 23 Oct 2019.

Vancouver:

Nilsson G. On Robust Distributed Control of Transportation Networks. [Internet] [Doctoral dissertation]. University of Lund; 2019. [cited 2019 Oct 23]. Available from: http://lup.lub.lu.se/record/09c366e7-2e30-4a34-b424-2c16fa613260 ; http://portal.research.lu.se/ws/files/57069962/GustavNilssonPhDThesis.pdf.

Council of Science Editors:

Nilsson G. On Robust Distributed Control of Transportation Networks. [Doctoral Dissertation]. University of Lund; 2019. Available from: http://lup.lub.lu.se/record/09c366e7-2e30-4a34-b424-2c16fa613260 ; http://portal.research.lu.se/ws/files/57069962/GustavNilssonPhDThesis.pdf


Florida International University

26. Massahi, Aidin. Multi-resolution Modeling of Dynamic Signal Control on Urban Streets.

Degree: PhD, Civil Engineering, 2017, Florida International University

  Dynamic signal control provides significant benefits in terms of travel time, travel time reliability, and other performance measures of transportation systems. The goal of… (more)

Subjects/Keywords: Incident Responsive Signal Control; Traffic Responsive Signal Control; Urban Street; Delay; Multi-Resolution; Transportation Engineering

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APA (6th Edition):

Massahi, A. (2017). Multi-resolution Modeling of Dynamic Signal Control on Urban Streets. (Doctoral Dissertation). Florida International University. Retrieved from http://digitalcommons.fiu.edu/etd/3349 ; 10.25148/etd.FIDC001982 ; FIDC001982

Chicago Manual of Style (16th Edition):

Massahi, Aidin. “Multi-resolution Modeling of Dynamic Signal Control on Urban Streets.” 2017. Doctoral Dissertation, Florida International University. Accessed October 23, 2019. http://digitalcommons.fiu.edu/etd/3349 ; 10.25148/etd.FIDC001982 ; FIDC001982.

MLA Handbook (7th Edition):

Massahi, Aidin. “Multi-resolution Modeling of Dynamic Signal Control on Urban Streets.” 2017. Web. 23 Oct 2019.

Vancouver:

Massahi A. Multi-resolution Modeling of Dynamic Signal Control on Urban Streets. [Internet] [Doctoral dissertation]. Florida International University; 2017. [cited 2019 Oct 23]. Available from: http://digitalcommons.fiu.edu/etd/3349 ; 10.25148/etd.FIDC001982 ; FIDC001982.

Council of Science Editors:

Massahi A. Multi-resolution Modeling of Dynamic Signal Control on Urban Streets. [Doctoral Dissertation]. Florida International University; 2017. Available from: http://digitalcommons.fiu.edu/etd/3349 ; 10.25148/etd.FIDC001982 ; FIDC001982


Penn State University

27. Jerath, Kshitij. Impact of Adaptive Cruise Control on the Formation of Self-organized Traffic Jams on Highways.

Degree: MS, Mechanical Engineering, 2010, Penn State University

 This thesis describes the analysis of a potential control mechanism for self-organizing systems by studying the specific problem of self-organizing traffic jams. Self-organizing traffic jams… (more)

Subjects/Keywords: traffic jams; traffic; self-organized; self organization; adaptive cruise control; congestion; multi-agent systems

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APA (6th Edition):

Jerath, K. (2010). Impact of Adaptive Cruise Control on the Formation of Self-organized Traffic Jams on Highways. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9665

Chicago Manual of Style (16th Edition):

Jerath, Kshitij. “Impact of Adaptive Cruise Control on the Formation of Self-organized Traffic Jams on Highways.” 2010. Masters Thesis, Penn State University. Accessed October 23, 2019. https://etda.libraries.psu.edu/catalog/9665.

MLA Handbook (7th Edition):

Jerath, Kshitij. “Impact of Adaptive Cruise Control on the Formation of Self-organized Traffic Jams on Highways.” 2010. Web. 23 Oct 2019.

Vancouver:

Jerath K. Impact of Adaptive Cruise Control on the Formation of Self-organized Traffic Jams on Highways. [Internet] [Masters thesis]. Penn State University; 2010. [cited 2019 Oct 23]. Available from: https://etda.libraries.psu.edu/catalog/9665.

Council of Science Editors:

Jerath K. Impact of Adaptive Cruise Control on the Formation of Self-organized Traffic Jams on Highways. [Masters Thesis]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/9665


University of Melbourne

28. KUTADINATA, RONNY. Nash Equilibrium Seeking for Augmentation of Urban Traffic Light Control.

Degree: 2015, University of Melbourne

 The congestion problem in urban transportation has been becoming increasingly severe in recent years due to the growth of population and vehicle ownership. It was… (more)

Subjects/Keywords: dynamics and control; adaptive system; nonlinear control; hybrid systems; traffic control; intelligent transportation system

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APA (6th Edition):

KUTADINATA, R. (2015). Nash Equilibrium Seeking for Augmentation of Urban Traffic Light Control. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/55074

Chicago Manual of Style (16th Edition):

KUTADINATA, RONNY. “Nash Equilibrium Seeking for Augmentation of Urban Traffic Light Control.” 2015. Doctoral Dissertation, University of Melbourne. Accessed October 23, 2019. http://hdl.handle.net/11343/55074.

MLA Handbook (7th Edition):

KUTADINATA, RONNY. “Nash Equilibrium Seeking for Augmentation of Urban Traffic Light Control.” 2015. Web. 23 Oct 2019.

Vancouver:

KUTADINATA R. Nash Equilibrium Seeking for Augmentation of Urban Traffic Light Control. [Internet] [Doctoral dissertation]. University of Melbourne; 2015. [cited 2019 Oct 23]. Available from: http://hdl.handle.net/11343/55074.

Council of Science Editors:

KUTADINATA R. Nash Equilibrium Seeking for Augmentation of Urban Traffic Light Control. [Doctoral Dissertation]. University of Melbourne; 2015. Available from: http://hdl.handle.net/11343/55074


Clemson University

29. Malinauskas, Rachel. The Intelligent Driver Model: Analysis and Application to Adaptive Cruise Control.

Degree: MS, Mathematics, 2014, Clemson University

  There are a large number of models that can be used to describe traffic flow. Although some were initially theoretically derived, there are many… (more)

Subjects/Keywords: Adaptive Cruise Control; Microscopic; Modelling; Traffic; Applied Mathematics

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APA (6th Edition):

Malinauskas, R. (2014). The Intelligent Driver Model: Analysis and Application to Adaptive Cruise Control. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/1934

Chicago Manual of Style (16th Edition):

Malinauskas, Rachel. “The Intelligent Driver Model: Analysis and Application to Adaptive Cruise Control.” 2014. Masters Thesis, Clemson University. Accessed October 23, 2019. https://tigerprints.clemson.edu/all_theses/1934.

MLA Handbook (7th Edition):

Malinauskas, Rachel. “The Intelligent Driver Model: Analysis and Application to Adaptive Cruise Control.” 2014. Web. 23 Oct 2019.

Vancouver:

Malinauskas R. The Intelligent Driver Model: Analysis and Application to Adaptive Cruise Control. [Internet] [Masters thesis]. Clemson University; 2014. [cited 2019 Oct 23]. Available from: https://tigerprints.clemson.edu/all_theses/1934.

Council of Science Editors:

Malinauskas R. The Intelligent Driver Model: Analysis and Application to Adaptive Cruise Control. [Masters Thesis]. Clemson University; 2014. Available from: https://tigerprints.clemson.edu/all_theses/1934


Clemson University

30. Khan, Sakib Mahmud. Connected and Automated Vehicles in Urban Transportation Cyber-Physical Systems.

Degree: PhD, Civil Engineering, 2019, Clemson University

  Understanding the components of Transportation Cyber-Physical Systems (TCPS), and inter-relation and interactions among these components are key factors to leverage the full potentials of… (more)

Subjects/Keywords: Adaptive traffic signal; Autonomous car; Connected car; Cyber physical systems; Digital infrastructure; Situation-awareness

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Khan, S. M. (2019). Connected and Automated Vehicles in Urban Transportation Cyber-Physical Systems. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2475

Chicago Manual of Style (16th Edition):

Khan, Sakib Mahmud. “Connected and Automated Vehicles in Urban Transportation Cyber-Physical Systems.” 2019. Doctoral Dissertation, Clemson University. Accessed October 23, 2019. https://tigerprints.clemson.edu/all_dissertations/2475.

MLA Handbook (7th Edition):

Khan, Sakib Mahmud. “Connected and Automated Vehicles in Urban Transportation Cyber-Physical Systems.” 2019. Web. 23 Oct 2019.

Vancouver:

Khan SM. Connected and Automated Vehicles in Urban Transportation Cyber-Physical Systems. [Internet] [Doctoral dissertation]. Clemson University; 2019. [cited 2019 Oct 23]. Available from: https://tigerprints.clemson.edu/all_dissertations/2475.

Council of Science Editors:

Khan SM. Connected and Automated Vehicles in Urban Transportation Cyber-Physical Systems. [Doctoral Dissertation]. Clemson University; 2019. Available from: https://tigerprints.clemson.edu/all_dissertations/2475

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