Improving Traffic Lights System Management by Translating Decisions of Traffic Officer
Coordination of traffic signal timing systems has significant impacts on traffic congestion, waiting time, risks of accidents, and unnecessary fuel consumption. Actually, systems of traffic light’s programming involve complex calculations especially to tackle problematic situations in real time. Another way of doing is to manage traffic flow by traffic officers. Despite the limitation of short-term retention of human brain to few elements, human being can make decisions in case of system malfunction or during special events. The human strategy as that of the traffic officers is simple and is based on common sense. This paper explains how to implement this strategy and gives some results obtained. The simulation is performed with the open-source traffic simulation software, simulation of urban mobility (SUMO). The preliminary simulation results are promising for the continuation of this research. The observation of patterns could bring to propose an intelligent system more efficient that reuses similar cases to save time.
KeywordsMicroscopic traffic simulation Open source SUMO Traffic lights Traffic management Traffic research Artificial intelligence
We wish to thank the German Aerospace Center (DLR) of Berlin and officials of SUMO for their continued support, especially Jakob Erdmann and Michael Behrisch who make it a duty to respond quickly and clearly to user requests. We also want to thank Bruno Rémy of OpenStreetMap Quebec group for his help and valuable advice. We finally thank the Department of Computer Science and Software Engineering of the Faculty of Science and Engineering at Laval University for financial support under a merit scholarship given to this project.
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