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: | , |
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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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| Sumario: | 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. |
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