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A local dynamic route and green time swapping control algorithm maximizing total network capacity
Viti, Francesco; Rinaldi, Marco
2017In Proceedings of the 25th Mediterranean Conference on Control and Automation, MED 2017
Peer reviewed
 

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Keywords :
Traffic signals; Behavioral response; Dynamic signal control
Abstract :
[en] This paper deals with the traffic signal control problem. More specifically it investigates the impact at a network level of simple dynamic local traffic control policies. A dynamic route swapping rule is adopted to model the behavioral response of the travellers to signal changes, while a dynamic signal control swapping rule based on an equi-pressure policy is used to implicitly consider the flow response within the control updating process. Results on a simple network show that the flow responsive control policy outperforms pre-timed control, as well as a more conventional local control policy based on signal equi-saturation. Numerical results show also that the swapping rule based on equi-pressure is less susceptible to local optima, to systematically improve total network throughput, and to increase its effectiveness with when demand increases. © 2017 IEEE.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Identifiers :
eid=2-s2.0-85028513548
Author, co-author :
Viti, Francesco  ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Rinaldi, Marco ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
External co-authors :
no
Language :
English
Title :
A local dynamic route and green time swapping control algorithm maximizing total network capacity
Publication date :
2017
Event name :
25th Mediterranean Conference on Control and Automation, MED 2017
Event date :
3 July 2017 through 6 July 2017
Main work title :
Proceedings of the 25th Mediterranean Conference on Control and Automation, MED 2017
Publisher :
Institute of Electrical and Electronics Engineers Inc.
Pages :
1148-1153
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 05 December 2017

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