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You searched for subject:( Motorway ramps). Showing records 1 – 3 of 3 total matches.

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Massey University

1. 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 (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 18, 2021. http://hdl.handle.net/10179/5927.

MLA Handbook (7th Edition):

Yu, Xuefeng. “Dynamic programming based coordinated ramp metering algorithms.” 2014. Web. 18 Apr 2021.

Vancouver:

Yu X. Dynamic programming based coordinated ramp metering algorithms. [Internet] [Doctoral dissertation]. Massey University; 2014. [cited 2021 Apr 18]. 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


Massey University

2. Yu, Xue Feng. Genetic fuzzy logic approach to local ramp metering control using microscopic traffic simulation.

Degree: M. Eng., Mechatronics, 2009, Massey University

Ramp metering, one of the most effective solutions for improving motorway traffic flows, is playing increasingly important role in traffic management systems. Because of its capability to handle nonlinear and non-stationary problems, fuzzy logic based ramp metering algorithms have been always considered as an extremely suitable control measures to handle a complex nonlinear traffic system. This thesis proposes a genetic fuzzy approach to design a traffic-responsive ramp control algorithm for an isolated onramp. For a local ramp meter algorithm, the problem could be described as the inflow optimization of on-ramp, based on the evaluation of motorway traffic condition. If the inflow of on-ramp is considered as the decision variable, the ramp control problem could be treated as a nonlinear optimization problem of maximizing the evaluation function. The adaptive genetic fuzzy approach is actually a control approach to maximize the inflow of on-ramp under the restriction of evaluation function. In this thesis, a well-known fuzzy logic based ramp metering algorithms developed by Bogenberger is introduced and implemented with an on-ramp congestion model of Constellation Drive Interchange in a stochastic microscopic traffic simulator, Aimsun. To improve the performance of fuzzy control system, genetic algorithm is applied to tune the parameterized membership function of each fuzzy input to maintain the flow density of motorway blow the estimated congestion density. The performances of the genetic fuzzy logic control ramp metering are compared with FLC (fuzzy logic control) ramp metering by means of the percentage change of TTT (Total Travel Time) based on no control condition in Aimsun. The simulation results show the genetic fuzzy ramp metering has a more significant improvement on TTT and more strong stability to maintain system flow density than FLC ramp metering.

Subjects/Keywords: Traffic flow; Ramp meter; Traffic control; Motorway ramps

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

APA (6th Edition):

Yu, X. F. (2009). Genetic fuzzy logic approach to local ramp metering control using microscopic traffic simulation. (Masters Thesis). Massey University. Retrieved from http://hdl.handle.net/10179/1146

Chicago Manual of Style (16th Edition):

Yu, Xue Feng. “Genetic fuzzy logic approach to local ramp metering control using microscopic traffic simulation.” 2009. Masters Thesis, Massey University. Accessed April 18, 2021. http://hdl.handle.net/10179/1146.

MLA Handbook (7th Edition):

Yu, Xue Feng. “Genetic fuzzy logic approach to local ramp metering control using microscopic traffic simulation.” 2009. Web. 18 Apr 2021.

Vancouver:

Yu XF. Genetic fuzzy logic approach to local ramp metering control using microscopic traffic simulation. [Internet] [Masters thesis]. Massey University; 2009. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/10179/1146.

Council of Science Editors:

Yu XF. Genetic fuzzy logic approach to local ramp metering control using microscopic traffic simulation. [Masters Thesis]. Massey University; 2009. Available from: http://hdl.handle.net/10179/1146


Delft University of Technology

3. Tabibi, M. Design and Control of Automated Truck Traffic at Motorway Ramps.

Degree: 2004, Delft University of Technology

Subjects/Keywords: automated truck traffic; dedicated freight lane; flow optimization at motorway ramps

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

APA (6th Edition):

Tabibi, M. (2004). Design and Control of Automated Truck Traffic at Motorway Ramps. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d1009e78-be81-4140-8930-5028ffe455c0 ; urn:NBN:nl:ui:24-uuid:d1009e78-be81-4140-8930-5028ffe455c0 ; urn:NBN:nl:ui:24-uuid:d1009e78-be81-4140-8930-5028ffe455c0 ; http://resolver.tudelft.nl/uuid:d1009e78-be81-4140-8930-5028ffe455c0

Chicago Manual of Style (16th Edition):

Tabibi, M. “Design and Control of Automated Truck Traffic at Motorway Ramps.” 2004. Doctoral Dissertation, Delft University of Technology. Accessed April 18, 2021. http://resolver.tudelft.nl/uuid:d1009e78-be81-4140-8930-5028ffe455c0 ; urn:NBN:nl:ui:24-uuid:d1009e78-be81-4140-8930-5028ffe455c0 ; urn:NBN:nl:ui:24-uuid:d1009e78-be81-4140-8930-5028ffe455c0 ; http://resolver.tudelft.nl/uuid:d1009e78-be81-4140-8930-5028ffe455c0.

MLA Handbook (7th Edition):

Tabibi, M. “Design and Control of Automated Truck Traffic at Motorway Ramps.” 2004. Web. 18 Apr 2021.

Vancouver:

Tabibi M. Design and Control of Automated Truck Traffic at Motorway Ramps. [Internet] [Doctoral dissertation]. Delft University of Technology; 2004. [cited 2021 Apr 18]. Available from: http://resolver.tudelft.nl/uuid:d1009e78-be81-4140-8930-5028ffe455c0 ; urn:NBN:nl:ui:24-uuid:d1009e78-be81-4140-8930-5028ffe455c0 ; urn:NBN:nl:ui:24-uuid:d1009e78-be81-4140-8930-5028ffe455c0 ; http://resolver.tudelft.nl/uuid:d1009e78-be81-4140-8930-5028ffe455c0.

Council of Science Editors:

Tabibi M. Design and Control of Automated Truck Traffic at Motorway Ramps. [Doctoral Dissertation]. Delft University of Technology; 2004. Available from: http://resolver.tudelft.nl/uuid:d1009e78-be81-4140-8930-5028ffe455c0 ; urn:NBN:nl:ui:24-uuid:d1009e78-be81-4140-8930-5028ffe455c0 ; urn:NBN:nl:ui:24-uuid:d1009e78-be81-4140-8930-5028ffe455c0 ; http://resolver.tudelft.nl/uuid:d1009e78-be81-4140-8930-5028ffe455c0

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