Purpose: This paper deals with real-time control of urban traffic with an emphasis on public transportation systems. The main objective is the regulation of traffic after the occurrence of disturbances. In a few words, the problem is to find a feasible schedule for some vehicles of some lines subject to certain constraints in order to design a decision support system (DSS) that detects, analyses and resolves disturbances. Design + methodology + approach: This work is achieved in cooperation with a public transport company called SEMURVAL. It consists of developing a DSS for the future transportation network of Valenciennes (city in the north of France). As a consequence, regulators of traffic have to treat a new lot of information and it becomes necessary to assist them in order to keep up with demands and to come up to passengers' expectations and hopes. Findings: From the case study finds that the solution proposed assures that arrival times of vehicles are more regular. Originality + value: The solution proposed presents a good combination of scheduling decisions permitting the good regulation of traffic. In this paper, we have presented a model based on CPNs and OPNs that describes the functioning of a multimodal public transport network. We have presented also a genetic coding to resolve the public transport scheduling problem; EAs are chosen because classical methods are inadequate to solve such an optimisation problem. Our algorithm allows finding a good combination of scheduling decisions that allow a good 72 regulation of traffic. Future research is to formulate a new genetic coding which involves other types of decisions (injection of vehicles, route changing ...).
Traffic control in transportation systems
Steuerung des öffentlichen Verkehrs in der Stadt
Journal of Manufacturing Technology Management ; 16 , 1 ; 53-74
2005
22 Seiten, 15 Bilder, 2 Tabellen, 18 Quellen
Article (Journal)
English
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