A linear programming approach for adaptive synchronization of traffic signals

As traffic congestion during rush hours is a growing problem for most cities, there is an increasing need for more effective management of traffic signal control and traffic assignment systems. We present here a new adaptive system based on a linear programming model for the signal-control problem....

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Autores principales: Coll, P., Factorovich, P., Loiseau, I., Gómez, R.
Formato: JOUR
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_09696016_v20_n5_p667_Coll
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spelling todo:paper_09696016_v20_n5_p667_Coll2023-10-03T15:55:23Z A linear programming approach for adaptive synchronization of traffic signals Coll, P. Factorovich, P. Loiseau, I. Gómez, R. Adaptive signal control Linear programming Signal timing Urban traffic control Adaptive signal control Adaptive synchronizations Effective management Linear programming models Signal timing Traffic information Traffic signal control Urban traffic control Linear programming Street traffic control Timing circuits Traffic congestion Traffic signals As traffic congestion during rush hours is a growing problem for most cities, there is an increasing need for more effective management of traffic signal control and traffic assignment systems. We present here a new adaptive system based on a linear programming model for the signal-control problem. The objective is to minimize the total length of the queues of vehicles waiting at each intersection. The model is based on traffic information provided by real-time sensors installed at each intersection. In order to compare the performance of our program with the current scheduling designed by the transit office of Buenos Aires city, we used a traffic simulation system and real traffic flow data of two pilot areas of the city. Preliminary results are very promising. © 2013 International Federation of Operational Research Societies. Fil:Coll, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Loiseau, I. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_09696016_v20_n5_p667_Coll
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Adaptive signal control
Linear programming
Signal timing
Urban traffic control
Adaptive signal control
Adaptive synchronizations
Effective management
Linear programming models
Signal timing
Traffic information
Traffic signal control
Urban traffic control
Linear programming
Street traffic control
Timing circuits
Traffic congestion
Traffic signals
spellingShingle Adaptive signal control
Linear programming
Signal timing
Urban traffic control
Adaptive signal control
Adaptive synchronizations
Effective management
Linear programming models
Signal timing
Traffic information
Traffic signal control
Urban traffic control
Linear programming
Street traffic control
Timing circuits
Traffic congestion
Traffic signals
Coll, P.
Factorovich, P.
Loiseau, I.
Gómez, R.
A linear programming approach for adaptive synchronization of traffic signals
topic_facet Adaptive signal control
Linear programming
Signal timing
Urban traffic control
Adaptive signal control
Adaptive synchronizations
Effective management
Linear programming models
Signal timing
Traffic information
Traffic signal control
Urban traffic control
Linear programming
Street traffic control
Timing circuits
Traffic congestion
Traffic signals
description As traffic congestion during rush hours is a growing problem for most cities, there is an increasing need for more effective management of traffic signal control and traffic assignment systems. We present here a new adaptive system based on a linear programming model for the signal-control problem. The objective is to minimize the total length of the queues of vehicles waiting at each intersection. The model is based on traffic information provided by real-time sensors installed at each intersection. In order to compare the performance of our program with the current scheduling designed by the transit office of Buenos Aires city, we used a traffic simulation system and real traffic flow data of two pilot areas of the city. Preliminary results are very promising. © 2013 International Federation of Operational Research Societies.
format JOUR
author Coll, P.
Factorovich, P.
Loiseau, I.
Gómez, R.
author_facet Coll, P.
Factorovich, P.
Loiseau, I.
Gómez, R.
author_sort Coll, P.
title A linear programming approach for adaptive synchronization of traffic signals
title_short A linear programming approach for adaptive synchronization of traffic signals
title_full A linear programming approach for adaptive synchronization of traffic signals
title_fullStr A linear programming approach for adaptive synchronization of traffic signals
title_full_unstemmed A linear programming approach for adaptive synchronization of traffic signals
title_sort linear programming approach for adaptive synchronization of traffic signals
url http://hdl.handle.net/20.500.12110/paper_09696016_v20_n5_p667_Coll
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