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Dept: Civil Engineering

You searched for subject:( Adaptive). Showing records 1 – 25 of 25 total matches.

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Virginia Tech

1. Kamalanathsharma, Raj Kishore. Traffic Adaptive Offset-Based Preemption for Emergency Vehicles.

Degree: MS, Civil Engineering, 2010, Virginia Tech

 This research analyzed and evaluated a new strategy for preemption of emergency vehicles along a corridor, which is route-based and adaptive to real-time traffic conditions.… (more)

Subjects/Keywords: traffic adaptive; preemption; priority; intersection queues

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APA (6th Edition):

Kamalanathsharma, R. K. (2010). Traffic Adaptive Offset-Based Preemption for Emergency Vehicles. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/34498

Chicago Manual of Style (16th Edition):

Kamalanathsharma, Raj Kishore. “Traffic Adaptive Offset-Based Preemption for Emergency Vehicles.” 2010. Masters Thesis, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/34498.

MLA Handbook (7th Edition):

Kamalanathsharma, Raj Kishore. “Traffic Adaptive Offset-Based Preemption for Emergency Vehicles.” 2010. Web. 16 Jul 2019.

Vancouver:

Kamalanathsharma RK. Traffic Adaptive Offset-Based Preemption for Emergency Vehicles. [Internet] [Masters thesis]. Virginia Tech; 2010. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/34498.

Council of Science Editors:

Kamalanathsharma RK. Traffic Adaptive Offset-Based Preemption for Emergency Vehicles. [Masters Thesis]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/34498


Texas A&M University

2. Bibeka, Apoorba. Evaluation of CACC Vehicles Clustering on Freeway Performance.

Degree: MS, Civil Engineering, 2016, Texas A&M University

 Vehicle clustering strategy can harness the full potential of cooperative adaptive cruise control (CACC). Vehicle clustering involves finding nearby CACC equipped vehicles and forming a… (more)

Subjects/Keywords: Cooperative Adaptive Cruise Control; Vehicle Clustering Strategy

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APA (6th Edition):

Bibeka, A. (2016). Evaluation of CACC Vehicles Clustering on Freeway Performance. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157937

Chicago Manual of Style (16th Edition):

Bibeka, Apoorba. “Evaluation of CACC Vehicles Clustering on Freeway Performance.” 2016. Masters Thesis, Texas A&M University. Accessed July 16, 2019. http://hdl.handle.net/1969.1/157937.

MLA Handbook (7th Edition):

Bibeka, Apoorba. “Evaluation of CACC Vehicles Clustering on Freeway Performance.” 2016. Web. 16 Jul 2019.

Vancouver:

Bibeka A. Evaluation of CACC Vehicles Clustering on Freeway Performance. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/1969.1/157937.

Council of Science Editors:

Bibeka A. Evaluation of CACC Vehicles Clustering on Freeway Performance. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157937


The Ohio State University

3. Wang, Nengmou. Modified Sliding Mode Control Algorithm for Vibration Control of Linear and Nonlinear Civil Structures.

Degree: MS, Civil Engineering, 2011, The Ohio State University

  Structural control technologies have been widely accepted as effective ways to protect structures against seismic and wind hazards. Sliding mode control (SMC) is among… (more)

Subjects/Keywords: Civil Engineering; Structural vibration; Sliding Mode Control; Adaptive Control; Chattering

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APA (6th Edition):

Wang, N. (2011). Modified Sliding Mode Control Algorithm for Vibration Control of Linear and Nonlinear Civil Structures. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1306705560

Chicago Manual of Style (16th Edition):

Wang, Nengmou. “Modified Sliding Mode Control Algorithm for Vibration Control of Linear and Nonlinear Civil Structures.” 2011. Masters Thesis, The Ohio State University. Accessed July 16, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306705560.

MLA Handbook (7th Edition):

Wang, Nengmou. “Modified Sliding Mode Control Algorithm for Vibration Control of Linear and Nonlinear Civil Structures.” 2011. Web. 16 Jul 2019.

Vancouver:

Wang N. Modified Sliding Mode Control Algorithm for Vibration Control of Linear and Nonlinear Civil Structures. [Internet] [Masters thesis]. The Ohio State University; 2011. [cited 2019 Jul 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1306705560.

Council of Science Editors:

Wang N. Modified Sliding Mode Control Algorithm for Vibration Control of Linear and Nonlinear Civil Structures. [Masters Thesis]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1306705560


University of Akron

4. Shao, Chun. Adaptive Control Strategy for Isolated Intersection and Traffic Network.

Degree: PhD, Civil Engineering, 2009, University of Akron

 Traffic congestion due to increased travel demands is a common problem in urban areas across the United States. Among the many solutions to traffic congestion,… (more)

Subjects/Keywords: Transportation; Adaptive Control Logic; Genetic Algorithm; PODE; GABNOR

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APA (6th Edition):

Shao, C. (2009). Adaptive Control Strategy for Isolated Intersection and Traffic Network. (Doctoral Dissertation). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1239466538

Chicago Manual of Style (16th Edition):

Shao, Chun. “Adaptive Control Strategy for Isolated Intersection and Traffic Network.” 2009. Doctoral Dissertation, University of Akron. Accessed July 16, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1239466538.

MLA Handbook (7th Edition):

Shao, Chun. “Adaptive Control Strategy for Isolated Intersection and Traffic Network.” 2009. Web. 16 Jul 2019.

Vancouver:

Shao C. Adaptive Control Strategy for Isolated Intersection and Traffic Network. [Internet] [Doctoral dissertation]. University of Akron; 2009. [cited 2019 Jul 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1239466538.

Council of Science Editors:

Shao C. Adaptive Control Strategy for Isolated Intersection and Traffic Network. [Doctoral Dissertation]. University of Akron; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1239466538

5. Lu, Xuan. Optimal Adaptive Departure Time Choices with Real-Time Traveler Information Considering Arrival Reliability.

Degree: MS, Civil Engineering, 2009, University of Massachusetts

 When faced with an uncertain network, travelers adjust departure time as well as route choices in response to real-time traveler information. Previous studies on algorithm… (more)

Subjects/Keywords: Departure Time Choice; Adaptive; Real-time Information; Arrival Reliability; Engineering

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APA (6th Edition):

Lu, X. (2009). Optimal Adaptive Departure Time Choices with Real-Time Traveler Information Considering Arrival Reliability. (Masters Thesis). University of Massachusetts. Retrieved from https://scholarworks.umass.edu/theses/311

Chicago Manual of Style (16th Edition):

Lu, Xuan. “Optimal Adaptive Departure Time Choices with Real-Time Traveler Information Considering Arrival Reliability.” 2009. Masters Thesis, University of Massachusetts. Accessed July 16, 2019. https://scholarworks.umass.edu/theses/311.

MLA Handbook (7th Edition):

Lu, Xuan. “Optimal Adaptive Departure Time Choices with Real-Time Traveler Information Considering Arrival Reliability.” 2009. Web. 16 Jul 2019.

Vancouver:

Lu X. Optimal Adaptive Departure Time Choices with Real-Time Traveler Information Considering Arrival Reliability. [Internet] [Masters thesis]. University of Massachusetts; 2009. [cited 2019 Jul 16]. Available from: https://scholarworks.umass.edu/theses/311.

Council of Science Editors:

Lu X. Optimal Adaptive Departure Time Choices with Real-Time Traveler Information Considering Arrival Reliability. [Masters Thesis]. University of Massachusetts; 2009. Available from: https://scholarworks.umass.edu/theses/311

6. Ding, Jing. An Optimal Adaptive Routing Algorithm for Large-scale Stochastic Time-Dependent Networks.

Degree: MSin Civil Engineering (M.S.C.E.), Civil Engineering, 2012, U of Massachusetts : Masters

  The objective of the research is to study optimal routing policy (ORP) problems and to develop an optimal adaptive routing algorithm practical for large-scale… (more)

Subjects/Keywords: Routing Policy; Adaptive Routing; Stochastic; Time-dependent; Network Optimization; Large-scale Networks; Civil Engineering

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APA (6th Edition):

Ding, J. (2012). An Optimal Adaptive Routing Algorithm for Large-scale Stochastic Time-Dependent Networks. (Masters Thesis). U of Massachusetts : Masters. Retrieved from http://scholarworks.umass.edu/theses/902

Chicago Manual of Style (16th Edition):

Ding, Jing. “An Optimal Adaptive Routing Algorithm for Large-scale Stochastic Time-Dependent Networks.” 2012. Masters Thesis, U of Massachusetts : Masters. Accessed July 16, 2019. http://scholarworks.umass.edu/theses/902.

MLA Handbook (7th Edition):

Ding, Jing. “An Optimal Adaptive Routing Algorithm for Large-scale Stochastic Time-Dependent Networks.” 2012. Web. 16 Jul 2019.

Vancouver:

Ding J. An Optimal Adaptive Routing Algorithm for Large-scale Stochastic Time-Dependent Networks. [Internet] [Masters thesis]. U of Massachusetts : Masters; 2012. [cited 2019 Jul 16]. Available from: http://scholarworks.umass.edu/theses/902.

Council of Science Editors:

Ding J. An Optimal Adaptive Routing Algorithm for Large-scale Stochastic Time-Dependent Networks. [Masters Thesis]. U of Massachusetts : Masters; 2012. Available from: http://scholarworks.umass.edu/theses/902


Texas A&M University

7. Tiaprasert, Kamonthep. Queue Length Estimation and Platoon Recognition Using Connected Vehicle Technology for Adaptive Signal Control.

Degree: PhD, Civil Engineering, 2016, Texas A&M University

 This dissertation presents mathematical and analytical models for real-time queue length estimation and platoon recognition using the connected vehicle technology (CVT). Information on queue length… (more)

Subjects/Keywords: Queue Length Estimation; Wireless Vehicle-To-Vehicle Communications; Adaptive Signal Control; Discrete Wavelet Transform; Platoon Identification

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APA (6th Edition):

Tiaprasert, K. (2016). Queue Length Estimation and Platoon Recognition Using Connected Vehicle Technology for Adaptive Signal Control. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156829

Chicago Manual of Style (16th Edition):

Tiaprasert, Kamonthep. “Queue Length Estimation and Platoon Recognition Using Connected Vehicle Technology for Adaptive Signal Control.” 2016. Doctoral Dissertation, Texas A&M University. Accessed July 16, 2019. http://hdl.handle.net/1969.1/156829.

MLA Handbook (7th Edition):

Tiaprasert, Kamonthep. “Queue Length Estimation and Platoon Recognition Using Connected Vehicle Technology for Adaptive Signal Control.” 2016. Web. 16 Jul 2019.

Vancouver:

Tiaprasert K. Queue Length Estimation and Platoon Recognition Using Connected Vehicle Technology for Adaptive Signal Control. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/1969.1/156829.

Council of Science Editors:

Tiaprasert K. Queue Length Estimation and Platoon Recognition Using Connected Vehicle Technology for Adaptive Signal Control. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156829


California State University – Sacramento

8. Miller, Samuel Price. Modeling multiple planned tidal marsh restorations in the Sacramento/San Joaquin River Delta.

Degree: MS, Civil Engineering, 2014, California State University – Sacramento

 Several projects in the Sacramento San Joaquin River Delta has been proposed in the form of tidal marsh restoration, which is an environmental hydromodification to… (more)

Subjects/Keywords: Sacramento River; Sacramento/San Joaquin River Delta; San Joaquin River; ADH model; Adaptive Hydraulics model; Modeling; Tidal marsh restoration; Hydromodifications; Wetlands

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APA (6th Edition):

Miller, S. P. (2014). Modeling multiple planned tidal marsh restorations in the Sacramento/San Joaquin River Delta. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/122028

Chicago Manual of Style (16th Edition):

Miller, Samuel Price. “Modeling multiple planned tidal marsh restorations in the Sacramento/San Joaquin River Delta.” 2014. Masters Thesis, California State University – Sacramento. Accessed July 16, 2019. http://hdl.handle.net/10211.3/122028.

MLA Handbook (7th Edition):

Miller, Samuel Price. “Modeling multiple planned tidal marsh restorations in the Sacramento/San Joaquin River Delta.” 2014. Web. 16 Jul 2019.

Vancouver:

Miller SP. Modeling multiple planned tidal marsh restorations in the Sacramento/San Joaquin River Delta. [Internet] [Masters thesis]. California State University – Sacramento; 2014. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10211.3/122028.

Council of Science Editors:

Miller SP. Modeling multiple planned tidal marsh restorations in the Sacramento/San Joaquin River Delta. [Masters Thesis]. California State University – Sacramento; 2014. Available from: http://hdl.handle.net/10211.3/122028


Purdue University

9. Thneibat, Mujahed M. Policy design tool for managing indoor residential water demand in water-scarce regions.

Degree: PhD, Civil Engineering, 2016, Purdue University

  In view of population growth; climate change; and economic evolution, water resources in numerous parts of the world have reached their natural capacities. Consequently,… (more)

Subjects/Keywords: Applied sciences; Earth sciences; Agent based; Complex adaptive systems; Participatory approach; Scarce regions; Water demand management; Civil Engineering; Water Resource Management

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APA (6th Edition):

Thneibat, M. M. (2016). Policy design tool for managing indoor residential water demand in water-scarce regions. (Doctoral Dissertation). Purdue University. Retrieved from http://docs.lib.purdue.edu/open_access_dissertations/1017

Chicago Manual of Style (16th Edition):

Thneibat, Mujahed M. “Policy design tool for managing indoor residential water demand in water-scarce regions.” 2016. Doctoral Dissertation, Purdue University. Accessed July 16, 2019. http://docs.lib.purdue.edu/open_access_dissertations/1017.

MLA Handbook (7th Edition):

Thneibat, Mujahed M. “Policy design tool for managing indoor residential water demand in water-scarce regions.” 2016. Web. 16 Jul 2019.

Vancouver:

Thneibat MM. Policy design tool for managing indoor residential water demand in water-scarce regions. [Internet] [Doctoral dissertation]. Purdue University; 2016. [cited 2019 Jul 16]. Available from: http://docs.lib.purdue.edu/open_access_dissertations/1017.

Council of Science Editors:

Thneibat MM. Policy design tool for managing indoor residential water demand in water-scarce regions. [Doctoral Dissertation]. Purdue University; 2016. Available from: http://docs.lib.purdue.edu/open_access_dissertations/1017


Virginia Tech

10. Yan, Jingsheng. Platoon modal operations under vehicle autonomous adaptive cruise control model.

Degree: MS, Civil Engineering, 1994, Virginia Tech

 This paper presents a theoretical development of adaptive cruise control models and platoon operation logic for Automated Highway Systems in the Advanced Vehicle Control Systems… (more)

Subjects/Keywords: Adaptive control systems.; LD5655.V855 1994.Y36

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APA (6th Edition):

Yan, J. (1994). Platoon modal operations under vehicle autonomous adaptive cruise control model. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/43644

Chicago Manual of Style (16th Edition):

Yan, Jingsheng. “Platoon modal operations under vehicle autonomous adaptive cruise control model.” 1994. Masters Thesis, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/43644.

MLA Handbook (7th Edition):

Yan, Jingsheng. “Platoon modal operations under vehicle autonomous adaptive cruise control model.” 1994. Web. 16 Jul 2019.

Vancouver:

Yan J. Platoon modal operations under vehicle autonomous adaptive cruise control model. [Internet] [Masters thesis]. Virginia Tech; 1994. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/43644.

Council of Science Editors:

Yan J. Platoon modal operations under vehicle autonomous adaptive cruise control model. [Masters Thesis]. Virginia Tech; 1994. Available from: http://hdl.handle.net/10919/43644


North Carolina State University

11. Liu, Li. Real-time Contaminant Source Characterization in Water Distribution Systems.

Degree: PhD, Civil Engineering, 2009, North Carolina State University

 Accidental/intentional contamination continues to be a major concern for the security management in water distribution systems. Once a contaminant has been initially detected, an effective… (more)

Subjects/Keywords: Non-uniqueness; Adaptive dynamic optimization technique; Evolutionary algorithm; Water distribution systems; Contaminant source characterization; Logistic regression; Local search

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APA (6th Edition):

Liu, L. (2009). Real-time Contaminant Source Characterization in Water Distribution Systems. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/3319

Chicago Manual of Style (16th Edition):

Liu, Li. “Real-time Contaminant Source Characterization in Water Distribution Systems.” 2009. Doctoral Dissertation, North Carolina State University. Accessed July 16, 2019. http://www.lib.ncsu.edu/resolver/1840.16/3319.

MLA Handbook (7th Edition):

Liu, Li. “Real-time Contaminant Source Characterization in Water Distribution Systems.” 2009. Web. 16 Jul 2019.

Vancouver:

Liu L. Real-time Contaminant Source Characterization in Water Distribution Systems. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2019 Jul 16]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3319.

Council of Science Editors:

Liu L. Real-time Contaminant Source Characterization in Water Distribution Systems. [Doctoral Dissertation]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3319


University of Florida

12. Lin, Shiow-Min, 1960- ( author ). Formulation and evaluation of a methodology for network-wide signal optimization.

Degree: PhD, Civil Engineering, University of Florida

 The solution algorithm for the methodology developed in this study is based entirely on dynamic programming, and it is capable of performing network-wide signal optimization.… (more)

Subjects/Keywords: real-time  – adaptive control  – distributed system  – dynamic programming

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APA (6th Edition):

Lin, Shiow-Min, 1. (. a. ). (n.d.). Formulation and evaluation of a methodology for network-wide signal optimization. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/AA00064302

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Lin, Shiow-Min, 1960- ( author ). “Formulation and evaluation of a methodology for network-wide signal optimization.” Doctoral Dissertation, University of Florida. Accessed July 16, 2019. http://ufdc.ufl.edu/AA00064302.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Lin, Shiow-Min, 1960- ( author ). “Formulation and evaluation of a methodology for network-wide signal optimization.” Web. 16 Jul 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Lin, Shiow-Min 1(a). Formulation and evaluation of a methodology for network-wide signal optimization. [Internet] [Doctoral dissertation]. University of Florida; [cited 2019 Jul 16]. Available from: http://ufdc.ufl.edu/AA00064302.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Lin, Shiow-Min 1(a). Formulation and evaluation of a methodology for network-wide signal optimization. [Doctoral Dissertation]. University of Florida; Available from: http://ufdc.ufl.edu/AA00064302

Note: this citation may be lacking information needed for this citation format:
No year of publication.


University of Southern California

13. Kou, Zhiqing. Predicting debris yield using artificial intelligence models.

Degree: PhD, Civil Engineering, 2010, University of Southern California

 Artificial Neural Network is a very powerful computational tool for modeling very complicated and highly nonlinear problems in various fields. In this study, it is… (more)

Subjects/Keywords: debris yield; sediment yield; artificial intelligence model; artificial neural network; adaptive-network-based fuzzy inference system; generalized dynamic fuzzy neural network

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APA (6th Edition):

Kou, Z. (2010). Predicting debris yield using artificial intelligence models. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/372258/rec/5176

Chicago Manual of Style (16th Edition):

Kou, Zhiqing. “Predicting debris yield using artificial intelligence models.” 2010. Doctoral Dissertation, University of Southern California. Accessed July 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/372258/rec/5176.

MLA Handbook (7th Edition):

Kou, Zhiqing. “Predicting debris yield using artificial intelligence models.” 2010. Web. 16 Jul 2019.

Vancouver:

Kou Z. Predicting debris yield using artificial intelligence models. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Jul 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/372258/rec/5176.

Council of Science Editors:

Kou Z. Predicting debris yield using artificial intelligence models. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/372258/rec/5176


University of Michigan

14. Thomas, Albert. Modeling Occupant Behavior, Systems Life Cycle Performance, and Energy Consumption Nexus in Buildings Using Multi-Method Distributed Simulation.

Degree: PhD, Civil Engineering, 2017, University of Michigan

 Buildings consume 40% of the total energy produced in the United States (US), making this sector an opportune choice for devising strategies aimed at reducing… (more)

Subjects/Keywords: Energy simulation; Occupants’ dynamic energy use behavior; Lightweight and Adaptive Building Simulation (LABS) framework; System dynamics; Civil and Environmental Engineering; Engineering

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APA (6th Edition):

Thomas, A. (2017). Modeling Occupant Behavior, Systems Life Cycle Performance, and Energy Consumption Nexus in Buildings Using Multi-Method Distributed Simulation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138685

Chicago Manual of Style (16th Edition):

Thomas, Albert. “Modeling Occupant Behavior, Systems Life Cycle Performance, and Energy Consumption Nexus in Buildings Using Multi-Method Distributed Simulation.” 2017. Doctoral Dissertation, University of Michigan. Accessed July 16, 2019. http://hdl.handle.net/2027.42/138685.

MLA Handbook (7th Edition):

Thomas, Albert. “Modeling Occupant Behavior, Systems Life Cycle Performance, and Energy Consumption Nexus in Buildings Using Multi-Method Distributed Simulation.” 2017. Web. 16 Jul 2019.

Vancouver:

Thomas A. Modeling Occupant Behavior, Systems Life Cycle Performance, and Energy Consumption Nexus in Buildings Using Multi-Method Distributed Simulation. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2027.42/138685.

Council of Science Editors:

Thomas A. Modeling Occupant Behavior, Systems Life Cycle Performance, and Energy Consumption Nexus in Buildings Using Multi-Method Distributed Simulation. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138685


University of Michigan

15. Wong, Brandon. Real-time Measurement and Control of Urban Stormwater Systems.

Degree: PhD, Civil Engineering, 2017, University of Michigan

 Urban watersheds are being stressed beyond their capacity as storms are becoming more frequent and intense. Flash flooding is the leading cause of natural disaster… (more)

Subjects/Keywords: Real-time stormwater measurement and control; Internet of Things (IoT); Adaptive sampling; Wireless sensor networks; Civil and Environmental Engineering; Engineering

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APA (6th Edition):

Wong, B. (2017). Real-time Measurement and Control of Urban Stormwater Systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/140797

Chicago Manual of Style (16th Edition):

Wong, Brandon. “Real-time Measurement and Control of Urban Stormwater Systems.” 2017. Doctoral Dissertation, University of Michigan. Accessed July 16, 2019. http://hdl.handle.net/2027.42/140797.

MLA Handbook (7th Edition):

Wong, Brandon. “Real-time Measurement and Control of Urban Stormwater Systems.” 2017. Web. 16 Jul 2019.

Vancouver:

Wong B. Real-time Measurement and Control of Urban Stormwater Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2027.42/140797.

Council of Science Editors:

Wong B. Real-time Measurement and Control of Urban Stormwater Systems. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/140797


Penn State University

16. Newlin, Jessica Thomas. Sediment Aggradation at Bridge Crossings and an Adaptive Approach to Stream Channel Maintenance and Bridge Design.

Degree: PhD, Civil Engineering, 2007, Penn State University

 The overall objective of this study is to identify a more effective approach to maintaining stream channels at bridge crossings in the Northern Tier region… (more)

Subjects/Keywords: adaptive management; channel modification; physical modeling; instream structures; sediment aggradation; bridge waterways

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APA (6th Edition):

Newlin, J. T. (2007). Sediment Aggradation at Bridge Crossings and an Adaptive Approach to Stream Channel Maintenance and Bridge Design. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/8050

Chicago Manual of Style (16th Edition):

Newlin, Jessica Thomas. “Sediment Aggradation at Bridge Crossings and an Adaptive Approach to Stream Channel Maintenance and Bridge Design.” 2007. Doctoral Dissertation, Penn State University. Accessed July 16, 2019. https://etda.libraries.psu.edu/catalog/8050.

MLA Handbook (7th Edition):

Newlin, Jessica Thomas. “Sediment Aggradation at Bridge Crossings and an Adaptive Approach to Stream Channel Maintenance and Bridge Design.” 2007. Web. 16 Jul 2019.

Vancouver:

Newlin JT. Sediment Aggradation at Bridge Crossings and an Adaptive Approach to Stream Channel Maintenance and Bridge Design. [Internet] [Doctoral dissertation]. Penn State University; 2007. [cited 2019 Jul 16]. Available from: https://etda.libraries.psu.edu/catalog/8050.

Council of Science Editors:

Newlin JT. Sediment Aggradation at Bridge Crossings and an Adaptive Approach to Stream Channel Maintenance and Bridge Design. [Doctoral Dissertation]. Penn State University; 2007. Available from: https://etda.libraries.psu.edu/catalog/8050

17. Coates, Angela M. Using Adaptive Signal Control to Prioritize Pedestrian Crossing at Continuous Flow Intersections.

Degree: MSin Engineering, Civil Engineering, 2013, University of Akron

 Traditional four-phase, four-legged intersections often operate inefficiently, severely restricting the available throughput and resulting in large delays. These configurations are limited by their traditional geometric… (more)

Subjects/Keywords: Civil Engineering; Transportation; Pedestrian, Safety, Continuous Flow, Adaptive Signal Control

…35 3.2 Flow chart for adaptive control algorithm… …intersections. Thus, the goal of this research is to compile an adaptive control program specifically… …dynamically assigned. The utilization of an adaptive control strategy makes it possible to reduce… …Chapter III In this chapter, a comprehensive description of the adaptive control algorithm… 

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APA (6th Edition):

Coates, A. M. (2013). Using Adaptive Signal Control to Prioritize Pedestrian Crossing at Continuous Flow Intersections. (Masters Thesis). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1374170215

Chicago Manual of Style (16th Edition):

Coates, Angela M. “Using Adaptive Signal Control to Prioritize Pedestrian Crossing at Continuous Flow Intersections.” 2013. Masters Thesis, University of Akron. Accessed July 16, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1374170215.

MLA Handbook (7th Edition):

Coates, Angela M. “Using Adaptive Signal Control to Prioritize Pedestrian Crossing at Continuous Flow Intersections.” 2013. Web. 16 Jul 2019.

Vancouver:

Coates AM. Using Adaptive Signal Control to Prioritize Pedestrian Crossing at Continuous Flow Intersections. [Internet] [Masters thesis]. University of Akron; 2013. [cited 2019 Jul 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1374170215.

Council of Science Editors:

Coates AM. Using Adaptive Signal Control to Prioritize Pedestrian Crossing at Continuous Flow Intersections. [Masters Thesis]. University of Akron; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1374170215


Virginia Tech

18. Zhang, Yihua. An Evaluation of Transit signal Priority and SCOOT Adaptive Signal control.

Degree: MS, Civil Engineering, 2001, Virginia Tech

 Cities worldwide are faced with the challenge of improving transit service in urban areas using lower cost means. Transit signal priority is considered to be… (more)

Subjects/Keywords: SCOOT; Transit Signal Priority; Integration model; intelligent transportation systems; Adaptive Signal Control

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APA (6th Edition):

Zhang, Y. (2001). An Evaluation of Transit signal Priority and SCOOT Adaptive Signal control. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/33051

Chicago Manual of Style (16th Edition):

Zhang, Yihua. “An Evaluation of Transit signal Priority and SCOOT Adaptive Signal control.” 2001. Masters Thesis, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/33051.

MLA Handbook (7th Edition):

Zhang, Yihua. “An Evaluation of Transit signal Priority and SCOOT Adaptive Signal control.” 2001. Web. 16 Jul 2019.

Vancouver:

Zhang Y. An Evaluation of Transit signal Priority and SCOOT Adaptive Signal control. [Internet] [Masters thesis]. Virginia Tech; 2001. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/33051.

Council of Science Editors:

Zhang Y. An Evaluation of Transit signal Priority and SCOOT Adaptive Signal control. [Masters Thesis]. Virginia Tech; 2001. Available from: http://hdl.handle.net/10919/33051

19. Spring, Daniel William. Failure processes in soft and quasi-brittle materials with nonhomogeneous microstructures.

Degree: PhD, Civil Engineering, 2015, University of Illinois – Urbana-Champaign

 Material failure pervades the fields of materials science and engineering; it occurs at various scales and in various contexts. Understanding the mechanisms by which a… (more)

Subjects/Keywords: Cohesive Zone Models; Cohesive Element Method; Interfacial Debonding; Interphases; Filled Elastomers; Dynamic Fracture; Mesh Dependency; Polygonal Finite Elements; Element Splitting; Adaptive Refinement; Pervasive Fragmentation; Coupled Cohesive-Friction

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APA (6th Edition):

Spring, D. W. (2015). Failure processes in soft and quasi-brittle materials with nonhomogeneous microstructures. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88008

Chicago Manual of Style (16th Edition):

Spring, Daniel William. “Failure processes in soft and quasi-brittle materials with nonhomogeneous microstructures.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 16, 2019. http://hdl.handle.net/2142/88008.

MLA Handbook (7th Edition):

Spring, Daniel William. “Failure processes in soft and quasi-brittle materials with nonhomogeneous microstructures.” 2015. Web. 16 Jul 2019.

Vancouver:

Spring DW. Failure processes in soft and quasi-brittle materials with nonhomogeneous microstructures. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2142/88008.

Council of Science Editors:

Spring DW. Failure processes in soft and quasi-brittle materials with nonhomogeneous microstructures. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/88008


North Carolina State University

20. Shekhar, Shashank. Recursive Methods for Forecasting Short-term Traffic Flow Using Seasonal ARIMA Time Series Model.

Degree: MS, Civil Engineering, 2004, North Carolina State University

 Many Intelligent Transportation System (ITS) applications under the umbrella of Advanced Traffic Management Systems (ATMS) and Advanced Traveler Information Services (ATIS) call for the ability… (more)

Subjects/Keywords: short-term traffic flow forecasting; seasonal ARIMA model; adaptive traffic forecating

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APA (6th Edition):

Shekhar, S. (2004). Recursive Methods for Forecasting Short-term Traffic Flow Using Seasonal ARIMA Time Series Model. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/2564

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):

Shekhar, Shashank. “Recursive Methods for Forecasting Short-term Traffic Flow Using Seasonal ARIMA Time Series Model.” 2004. Thesis, North Carolina State University. Accessed July 16, 2019. http://www.lib.ncsu.edu/resolver/1840.16/2564.

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

MLA Handbook (7th Edition):

Shekhar, Shashank. “Recursive Methods for Forecasting Short-term Traffic Flow Using Seasonal ARIMA Time Series Model.” 2004. Web. 16 Jul 2019.

Vancouver:

Shekhar S. Recursive Methods for Forecasting Short-term Traffic Flow Using Seasonal ARIMA Time Series Model. [Internet] [Thesis]. North Carolina State University; 2004. [cited 2019 Jul 16]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/2564.

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

Council of Science Editors:

Shekhar S. Recursive Methods for Forecasting Short-term Traffic Flow Using Seasonal ARIMA Time Series Model. [Thesis]. North Carolina State University; 2004. Available from: http://www.lib.ncsu.edu/resolver/1840.16/2564

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


Penn State University

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

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 July 16, 2019. https://etda.libraries.psu.edu/catalog/6297.

MLA Handbook (7th Edition):

Fang, Fang. “OPTIMAL ADAPTIVE SIGNAL CONTROL FOR.” 2004. Web. 16 Jul 2019.

Vancouver:

Fang F. OPTIMAL ADAPTIVE SIGNAL CONTROL FOR. [Internet] [Doctoral dissertation]. Penn State University; 2004. [cited 2019 Jul 16]. 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


Virginia Tech

22. Lee, Sang-Keon. An adaptive strategy for providing dynamic route guidance under non-recurrent traffic congestion.

Degree: PhD, Civil Engineering, 1996, Virginia Tech

  Traffic congestion on urban road networks has been recognized as one of the most serious problems with which modern cities are confronted. It is… (more)

Subjects/Keywords: adaptive strategy; user equilibrium; Dynamic Route Guidance System; ATIS System Optimal; integrated traffic simulation; non-recurrent congestion; LD5655.V856 1996.L45

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APA (6th Edition):

Lee, S. (1996). An adaptive strategy for providing dynamic route guidance under non-recurrent traffic congestion. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/38059

Chicago Manual of Style (16th Edition):

Lee, Sang-Keon. “An adaptive strategy for providing dynamic route guidance under non-recurrent traffic congestion.” 1996. Doctoral Dissertation, Virginia Tech. Accessed July 16, 2019. http://hdl.handle.net/10919/38059.

MLA Handbook (7th Edition):

Lee, Sang-Keon. “An adaptive strategy for providing dynamic route guidance under non-recurrent traffic congestion.” 1996. Web. 16 Jul 2019.

Vancouver:

Lee S. An adaptive strategy for providing dynamic route guidance under non-recurrent traffic congestion. [Internet] [Doctoral dissertation]. Virginia Tech; 1996. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/10919/38059.

Council of Science Editors:

Lee S. An adaptive strategy for providing dynamic route guidance under non-recurrent traffic congestion. [Doctoral Dissertation]. Virginia Tech; 1996. Available from: http://hdl.handle.net/10919/38059

23. Huang, He. Real-Time Information and Correlations for Optimal Routing in Stochastic Networks.

Degree: PhD, Civil Engineering, 2012, U of Massachusetts : PhD

  Congestion is a world-wide problem in transportation. One major reason is random interruptions. The traffic network is inherently stochastic, and strong dependencies exist among… (more)

Subjects/Keywords: Adaptive routing; Link travel time correlations; Optimal routing problem; Real-time information; Stochastic network

…The study of optimal adaptive routing problems is thus timely and of great value. This… …is showed to be exact for the perfect online information scenario. For optimal adaptive… …trajectory-adaptive routing policy, for which the information is not included in the state variable… …purity is introduced to the trajectory-adaptive routing policy and an exact algorithm is… …17 2.4 Optimal Adaptive Routing Problem in Stochastic Networks ..........................20… 

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APA (6th Edition):

Huang, H. (2012). Real-Time Information and Correlations for Optimal Routing in Stochastic Networks. (Doctoral Dissertation). U of Massachusetts : PhD. Retrieved from https://scholarworks.umass.edu/open_access_dissertations/500

Chicago Manual of Style (16th Edition):

Huang, He. “Real-Time Information and Correlations for Optimal Routing in Stochastic Networks.” 2012. Doctoral Dissertation, U of Massachusetts : PhD. Accessed July 16, 2019. https://scholarworks.umass.edu/open_access_dissertations/500.

MLA Handbook (7th Edition):

Huang, He. “Real-Time Information and Correlations for Optimal Routing in Stochastic Networks.” 2012. Web. 16 Jul 2019.

Vancouver:

Huang H. Real-Time Information and Correlations for Optimal Routing in Stochastic Networks. [Internet] [Doctoral dissertation]. U of Massachusetts : PhD; 2012. [cited 2019 Jul 16]. Available from: https://scholarworks.umass.edu/open_access_dissertations/500.

Council of Science Editors:

Huang H. Real-Time Information and Correlations for Optimal Routing in Stochastic Networks. [Doctoral Dissertation]. U of Massachusetts : PhD; 2012. Available from: https://scholarworks.umass.edu/open_access_dissertations/500


University of Michigan

24. Lundeen, Kurt. Autonomous Scene Understanding, Motion Planning, and Task Execution for Geometrically Adaptive Robotized Construction Work.

Degree: PhD, Civil Engineering, 2019, University of Michigan

 The construction industry suffers from such problems as high cost, poor quality, prolonged duration, and substandard safety. Robots have the potential to help alleviate such… (more)

Subjects/Keywords: Construction Robotics; Camera-Marker Localization; BIM-Based Perception and Modeling; Work Plan Adaptation; Geometrically Adaptive Manipulation; Robotic Joint Filling; Civil and Environmental Engineering; Computer Science; Electrical Engineering; Engineering (General); Mechanical Engineering; Mathematics; Physics; Science (General); Statistics and Numeric Data; Engineering; Science

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APA (6th Edition):

Lundeen, K. (2019). Autonomous Scene Understanding, Motion Planning, and Task Execution for Geometrically Adaptive Robotized Construction Work. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/149785

Chicago Manual of Style (16th Edition):

Lundeen, Kurt. “Autonomous Scene Understanding, Motion Planning, and Task Execution for Geometrically Adaptive Robotized Construction Work.” 2019. Doctoral Dissertation, University of Michigan. Accessed July 16, 2019. http://hdl.handle.net/2027.42/149785.

MLA Handbook (7th Edition):

Lundeen, Kurt. “Autonomous Scene Understanding, Motion Planning, and Task Execution for Geometrically Adaptive Robotized Construction Work.” 2019. Web. 16 Jul 2019.

Vancouver:

Lundeen K. Autonomous Scene Understanding, Motion Planning, and Task Execution for Geometrically Adaptive Robotized Construction Work. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2027.42/149785.

Council of Science Editors:

Lundeen K. Autonomous Scene Understanding, Motion Planning, and Task Execution for Geometrically Adaptive Robotized Construction Work. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/149785


University of New South Wales

25. McLucas, Alan Charles. An investigation into the integration of qualitative and quantitative techniques for addressing systemic complexity in the context of organisational strategic decision-making.

Degree: Civil Engineering, 2001, University of New South Wales

 System dynamics modelling has been used for around 40 years to address complex, systemic, dynamic problems, those often described as wicked. But, system dynamics modelling… (more)

Subjects/Keywords: accidents; adaptive toolbox; Black Hawk; business process re-engineering; bounded rationality; BPR; CATWOE; causality; causal loop diagram; cognition; complexity; complex strategic problems; cognitive mapping; combat training centre; concept mapping; decision-making; decision support systems; defence preparedness; double loop learning; dynamic behaviour; dynamic complexity; feedback; feedback loop; feedback structure; helicopter crash; heuristic; influence diagram; iterative and interactive strategy development; IISD; learning; Katie Bender; knowledge; managerial cognition; defence materiel; naturalistic decision making; project management; qualitative modelling; quantitative modelling; recognition-primed decision making; risk; risk management; root definition; Royal Canberra Hospital; situation awareness; soft systems methodology; strategy; strategy development; system dynamics front-end tool; system dynamics modelling; systems theory; systems thinking; systemic problems; wicked problems

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APA (6th Edition):

McLucas, A. C. (2001). An investigation into the integration of qualitative and quantitative techniques for addressing systemic complexity in the context of organisational strategic decision-making. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/38744 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:3249/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

McLucas, Alan Charles. “An investigation into the integration of qualitative and quantitative techniques for addressing systemic complexity in the context of organisational strategic decision-making.” 2001. Doctoral Dissertation, University of New South Wales. Accessed July 16, 2019. http://handle.unsw.edu.au/1959.4/38744 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:3249/SOURCE01?view=true.

MLA Handbook (7th Edition):

McLucas, Alan Charles. “An investigation into the integration of qualitative and quantitative techniques for addressing systemic complexity in the context of organisational strategic decision-making.” 2001. Web. 16 Jul 2019.

Vancouver:

McLucas AC. An investigation into the integration of qualitative and quantitative techniques for addressing systemic complexity in the context of organisational strategic decision-making. [Internet] [Doctoral dissertation]. University of New South Wales; 2001. [cited 2019 Jul 16]. Available from: http://handle.unsw.edu.au/1959.4/38744 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:3249/SOURCE01?view=true.

Council of Science Editors:

McLucas AC. An investigation into the integration of qualitative and quantitative techniques for addressing systemic complexity in the context of organisational strategic decision-making. [Doctoral Dissertation]. University of New South Wales; 2001. Available from: http://handle.unsw.edu.au/1959.4/38744 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:3249/SOURCE01?view=true

.