An Innovative Eigenvector-Based Method for Traffic Light Scheduling

This paper introduces two traffic light strategies to control traffic and avoid traffic jam in urban networks. One strategy is a new traffic light scheduling system, which controls traffic light using local variables (waiting time and number of vehicle on links) but has a global impact on the traffi...

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Main Authors: Mohammad Amin Soltani-Sarvestani, Zohreh Azimifar, Alexander Wong, Ali Akbar Safavi
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2020/1462430
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author Mohammad Amin Soltani-Sarvestani
Zohreh Azimifar
Alexander Wong
Ali Akbar Safavi
author_facet Mohammad Amin Soltani-Sarvestani
Zohreh Azimifar
Alexander Wong
Ali Akbar Safavi
author_sort Mohammad Amin Soltani-Sarvestani
collection DOAJ
description This paper introduces two traffic light strategies to control traffic and avoid traffic jam in urban networks. One strategy is a new traffic light scheduling system, which controls traffic light using local variables (waiting time and number of vehicle on links) but has a global impact on the traffic, using shared variables between neighbour intersections. The proposed traffic light scheduling system is designed based on eigenvector centrality of intersection relation matrix. The intersection relation matrix is a new representation of a junction which indicates the traffic relation between intersection’s links and adjacent intersections. The second contribution is expanding a new dual mode traffic light strategy (namely, Exit Status Traffic Light (ETL)), which notifies the drivers whether they are allowed to exit a street or not. In other words, vehicles are allowed to enter a street in both red and green ETL, but they are not allowed to exit the street for a long time in red ETL (while traffic is heavy in the subnetwork). The ETL gives a chance to relax traffic in a subnetwork and avoid traffic jam. The effectiveness of the proposed strategy is analysed and evaluated by a number of simulations on three-way grid networks. Two-way rectangular grid networks are modelled via a cell transmission model (CTM). The macroscopic fundamental diagram (MFD) and the number of jammed cells are compared with two state-of-the-art methods.
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issn 0197-6729
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publishDate 2020-01-01
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series Journal of Advanced Transportation
spelling doaj-art-cde48eeea9644ff3a984be22e62678622025-02-03T05:52:29ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/14624301462430An Innovative Eigenvector-Based Method for Traffic Light SchedulingMohammad Amin Soltani-Sarvestani0Zohreh Azimifar1Alexander Wong2Ali Akbar Safavi3School of Electrical and Computer Engineering, Shiraz University, Shiraz, IranSchool of Electrical and Computer Engineering, Shiraz University, Shiraz, IranDepartment of Systems Design Engineering, University of Waterloo, Waterloo, CanadaSchool of Electrical and Computer Engineering, Shiraz University, Shiraz, IranThis paper introduces two traffic light strategies to control traffic and avoid traffic jam in urban networks. One strategy is a new traffic light scheduling system, which controls traffic light using local variables (waiting time and number of vehicle on links) but has a global impact on the traffic, using shared variables between neighbour intersections. The proposed traffic light scheduling system is designed based on eigenvector centrality of intersection relation matrix. The intersection relation matrix is a new representation of a junction which indicates the traffic relation between intersection’s links and adjacent intersections. The second contribution is expanding a new dual mode traffic light strategy (namely, Exit Status Traffic Light (ETL)), which notifies the drivers whether they are allowed to exit a street or not. In other words, vehicles are allowed to enter a street in both red and green ETL, but they are not allowed to exit the street for a long time in red ETL (while traffic is heavy in the subnetwork). The ETL gives a chance to relax traffic in a subnetwork and avoid traffic jam. The effectiveness of the proposed strategy is analysed and evaluated by a number of simulations on three-way grid networks. Two-way rectangular grid networks are modelled via a cell transmission model (CTM). The macroscopic fundamental diagram (MFD) and the number of jammed cells are compared with two state-of-the-art methods.http://dx.doi.org/10.1155/2020/1462430
spellingShingle Mohammad Amin Soltani-Sarvestani
Zohreh Azimifar
Alexander Wong
Ali Akbar Safavi
An Innovative Eigenvector-Based Method for Traffic Light Scheduling
Journal of Advanced Transportation
title An Innovative Eigenvector-Based Method for Traffic Light Scheduling
title_full An Innovative Eigenvector-Based Method for Traffic Light Scheduling
title_fullStr An Innovative Eigenvector-Based Method for Traffic Light Scheduling
title_full_unstemmed An Innovative Eigenvector-Based Method for Traffic Light Scheduling
title_short An Innovative Eigenvector-Based Method for Traffic Light Scheduling
title_sort innovative eigenvector based method for traffic light scheduling
url http://dx.doi.org/10.1155/2020/1462430
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