The development of new information and communication technologies is contributing to the emergence of a new generation of real-time services in various fields of application. In the area of intelligent transport systems, these new services also include connected vehicles that enable vehicles to collect and disseminate information, safety alerts and make driving smarter and more environmentally friendly. More and more, they concern power-assisted or fully autonomous vehicles. In this paper we propose an architecture of agents and we project it on a multi-agent transport simulator (MATSim). In order to improve the performance of the DriverAgent in the simulation an alternative approach to score the DriverAgent plans is proposed. The results show that the proposed alternative scoring function is able to ensure that agents improve their plans at each iteration performing on the same if not better level than the current scoring function.


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    Title :

    Multi-Agent Simulation of Road Traffic in MATSim with an Alternative Scoring Function


    Contributors:


    Publication date :

    2018-10-01


    Size :

    1651390 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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