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 ...).


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    Title :

    Traffic control in transportation systems


    Additional title:

    Steuerung des öffentlichen Verkehrs in der Stadt


    Contributors:


    Publication date :

    2005


    Size :

    22 Seiten, 15 Bilder, 2 Tabellen, 18 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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