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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2013
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09696016_v20_n5_p667_Coll http://hdl.handle.net/20.500.12110/paper_09696016_v20_n5_p667_Coll |
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paper:paper_09696016_v20_n5_p667_Coll2023-06-08T15:59:02Z A linear programming approach for adaptive synchronization of traffic signals Coll, Pablo Enrique Loiseau, Irene 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. 2013 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09696016_v20_n5_p667_Coll 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, Pablo Enrique Loiseau, Irene 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. |
| author |
Coll, Pablo Enrique Loiseau, Irene |
| author_facet |
Coll, Pablo Enrique Loiseau, Irene |
| author_sort |
Coll, Pablo Enrique |
| 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 |
| publishDate |
2013 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09696016_v20_n5_p667_Coll http://hdl.handle.net/20.500.12110/paper_09696016_v20_n5_p667_Coll |
| work_keys_str_mv |
AT collpabloenrique alinearprogrammingapproachforadaptivesynchronizationoftrafficsignals AT loiseauirene alinearprogrammingapproachforadaptivesynchronizationoftrafficsignals AT collpabloenrique linearprogrammingapproachforadaptivesynchronizationoftrafficsignals AT loiseauirene linearprogrammingapproachforadaptivesynchronizationoftrafficsignals |
| _version_ |
1768546168996888576 |