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You searched for subject:(motorway on ramp). Showing records 1 – 3 of 3 total matches.

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Queensland University of Technology

1. Jiang, Rui. Strategies for rapid congestion recovery using ramp metering.

Degree: 2014, Queensland University of Technology

This research investigated strategies for motorway congestion management from a different angle: that is, how to quickly recover motorway from congestion at the end of peak hours, given congestion cannot be eliminated due to excessive demand during the long peak hours nowadays. The project developed a zone recovery strategy using ramp metering for rapid congestion recovery, and a serious of traffic simulation investigations were included to evaluate the developed strategy. The results, from both microscopic and macroscopic simulation, demonstrated the effectiveness of the zone recovery strategy.

Subjects/Keywords: motorway congestion; rapid congestion recovery; ramp metering; cell transmission model; on-ramp queue estimation; queue management; ramp coordination; micro-simulation

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

APA (6th Edition):

Jiang, R. (2014). Strategies for rapid congestion recovery using ramp metering. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/68096/

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):

Jiang, Rui. “Strategies for rapid congestion recovery using ramp metering.” 2014. Thesis, Queensland University of Technology. Accessed April 20, 2021. https://eprints.qut.edu.au/68096/.

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

MLA Handbook (7th Edition):

Jiang, Rui. “Strategies for rapid congestion recovery using ramp metering.” 2014. Web. 20 Apr 2021.

Vancouver:

Jiang R. Strategies for rapid congestion recovery using ramp metering. [Internet] [Thesis]. Queensland University of Technology; 2014. [cited 2021 Apr 20]. Available from: https://eprints.qut.edu.au/68096/.

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

Council of Science Editors:

Jiang R. Strategies for rapid congestion recovery using ramp metering. [Thesis]. Queensland University of Technology; 2014. Available from: https://eprints.qut.edu.au/68096/

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


Delft University of Technology

2. van Maarseveen, Sander (author). Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation.

Degree: 2017, Delft University of Technology

In this research, insight is gained into the impacts of truck platooning on traffic performance and safety at motorway on-ramps in mixed traffic using microscopic simulation. Thereby different platooning strategies and platoon configurations are considered, that for instance differ in desired platoon inter-vehicle gaps and platoon sizes. The effects are considered for a broad range of traffic intensities and penetration rates of equipped trucks. Merging problems are observed, but these can be solved if the platoon members yield to create a gap for merging vehicles.

Civil Engineering | Transport and Planning

Advisors/Committee Members: van Arem, B. (mentor), Wang, M. (mentor), Happee, R. (mentor), Tool, Onno (mentor), Delft University of Technology (degree granting institution).

Subjects/Keywords: truck platooning; motorway on-ramp; merging; traffic performance; traffic safety; microscopic simulation; platooning strategy; platoon configuration

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

APA (6th Edition):

van Maarseveen, S. (. (2017). Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:dd8ee414-bddc-435b-90fe-21480cbd9187

Chicago Manual of Style (16th Edition):

van Maarseveen, Sander (author). “Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation.” 2017. Masters Thesis, Delft University of Technology. Accessed April 20, 2021. http://resolver.tudelft.nl/uuid:dd8ee414-bddc-435b-90fe-21480cbd9187.

MLA Handbook (7th Edition):

van Maarseveen, Sander (author). “Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation.” 2017. Web. 20 Apr 2021.

Vancouver:

van Maarseveen S(. Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Apr 20]. Available from: http://resolver.tudelft.nl/uuid:dd8ee414-bddc-435b-90fe-21480cbd9187.

Council of Science Editors:

van Maarseveen S(. Impacts of Truck Platooning at Motorway On-ramps: Analysis of traffic performance and safety effects of different platooning strategies and platoon configurations using microscopic simulation. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:dd8ee414-bddc-435b-90fe-21480cbd9187


Massey University

3. Yu, Xuefeng. Dynamic programming based coordinated ramp metering algorithms.

Degree: PhD, Mechatronics, 2014, Massey University

Motorway congestion can be classified into two types, recurrent congestion and non-recurrent congestion. Recurrent congestion happens during peak hours. Non-recurrent congestion occurs due to car accidents, weather conditions or public events. Negative impacts of traffic congestion include wasted fuel, pollution, travel delay and spillover effects caused by slow traffic. Ramp metering, as an only way to regulate traffic amount accessing to the motorway, is considered as the most cost-effective way to prevent the recurrent congestion. Coordinated ramp metering was developed to control a number of on-ramps simultaneously to improve traffic conditions on busy motorways. The existing coordinated ramp metering algorithms were normally established on macroscopic traffic flow models based on Payne’s wok, the performances of which were measured by the employed macroscopic model themselves, and the released metering rates of which tended to be continuous. Implementations in microscopic traffic simulators were few. This thesis presents DP (Dynamic Programming) based online control approaches for the optimal coordination of ramp metering and evaluates its performances in both macroscopic and microscopic traffic simulation environment. DP decision networks were proposed, where a traffic system can be modeled as a number of discrete traffic states and separated by time stages, and the control problem of coordinated ramp metering was treated as the minimization problem to search the optimal trajectory of discrete decision variables (ramp metering rates) that minimized a cost criterion in terms of TTS (total time spent) along the time horizon. Experiments conducted in the macroscopic simulation environment demonstrated the full potential of proposed algorithms with precise queue constrains in an ideal deterministic environment, and experiments conducted in the microscopic simulation environment indicated the performances of the proposed algorithms in a stochastic environment and revealed the feasibility in the real world. The implementation of DP ramp metering was proposed under the framework of receding horizon control. A 6.7km stretch of motorway in Auckland, New Zealand, was chosen as a study location and constructed by a microscopic simulator as a simulation scenario and by a macroscopic traffic model as a prediction model. The simulation results indicated that the proposed algorithms were able to eliminate motorway queues under high traffic demands and manage queue lengths at metered on-ramps when queue constrains were not overstrict. The simulation results also revealed that 9 discrete metering rates for each ramp meter were adequate to prevent motorway queues. Such feature not only proved that the optimal trajectory converged very fast in the proposed DP decision networks, but also made on-line control system possible due to less computational load.

Subjects/Keywords: Traffic congestion; Motorway congestion; Motorway ramps; Ramp metering; Traffic flow; On-ramps; Traffic simulation

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

APA (6th Edition):

Yu, X. (2014). Dynamic programming based coordinated ramp metering algorithms. (Doctoral Dissertation). Massey University. Retrieved from http://hdl.handle.net/10179/5927

Chicago Manual of Style (16th Edition):

Yu, Xuefeng. “Dynamic programming based coordinated ramp metering algorithms.” 2014. Doctoral Dissertation, Massey University. Accessed April 20, 2021. http://hdl.handle.net/10179/5927.

MLA Handbook (7th Edition):

Yu, Xuefeng. “Dynamic programming based coordinated ramp metering algorithms.” 2014. Web. 20 Apr 2021.

Vancouver:

Yu X. Dynamic programming based coordinated ramp metering algorithms. [Internet] [Doctoral dissertation]. Massey University; 2014. [cited 2021 Apr 20]. Available from: http://hdl.handle.net/10179/5927.

Council of Science Editors:

Yu X. Dynamic programming based coordinated ramp metering algorithms. [Doctoral Dissertation]. Massey University; 2014. Available from: http://hdl.handle.net/10179/5927

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