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Authors: Jana Görmer 1 ; Jan Fabian Ehmke 2 ; Maksims Fiosins 1 ; Daniel Schmidt 2 ; Henrik Schumacher 3 and Hugues Tchouankem 3

Affiliations: 1 Clausthal University of Technology, Germany ; 2 Technische Universität Braunschweig, Germany ; 3 Leibniz Universität Hannover, Germany

ISBN: 978-989-8425-78-2

Keyword(s): Traffic simulation, Communication simulation, Vehicular communication, Multiagent systems, Agent organization, Decentralized decision making, Dynamic city traffic management.

Related Ontology Subjects/Areas/Topics: Agent Based Modeling and Simulation ; Application Domains ; Complex Systems Modeling and Simulation ; Formal Methods ; Logistics, Traffic and Transportation ; Sensor Networks ; Simulation and Modeling ; Simulation Tools and Platforms ; Software and Architectures ; Stochastic Modeling and Simulation ; Telecommunication Systems and Networks

Abstract: In this paper, we present an integrated simulation approach featuring centralized and decentralized traffic management in urban areas. Our aim is to improve traffic flows by dynamic traffic management which is supported by vehicular communication interlinking centralized and decentralized decision making. We focus on traffic state estimation and the optimization of traffic lights as a central component to influence local traffic states, while individual traffic participants’ behavior is modeled by multiagent systems. Traffic participants achieve their individual goals by formation of groups and improving their knowledge about the road network by means of learning. Modeling of vehicular communication takes into account specific characteristics of urban areas, ensuring the realistic collection and dissemination of (de)centralized information. We provide a comprehensive microscopic traffic simulation framework featuring innovative functionality regarding dynamic traffic management, decen tralized decision making as well as realistic communication modeling. To illustrate and validate our approach, we present a use case in a city scenario. Simulations are implemented based on the microscopic traffic simulator AIMSUN, which is significantly extended using the AIMSUN API. (More)

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Paper citation in several formats:
Görmer, J.; Fabian Ehmke, J.; Fiosins, M.; Schmidt, D.; Schumacher, H. and Tchouankem, H. (2011). DECISION SUPPORT FOR DYNAMIC CITY TRAFFIC MANAGEMENT USING VEHICULAR COMMUNICATION.In Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-8425-78-2, pages 327-332. DOI: 10.5220/0003598503270332

@conference{simultech11,
author={Jana Görmer. and Jan Fabian Ehmke. and Maksims Fiosins. and Daniel Schmidt. and Henrik Schumacher. and Hugues Tchouankem.},
title={DECISION SUPPORT FOR DYNAMIC CITY TRAFFIC MANAGEMENT USING VEHICULAR COMMUNICATION},
booktitle={Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2011},
pages={327-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003598503270332},
isbn={978-989-8425-78-2},
}

TY - CONF

JO - Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - DECISION SUPPORT FOR DYNAMIC CITY TRAFFIC MANAGEMENT USING VEHICULAR COMMUNICATION
SN - 978-989-8425-78-2
AU - Görmer, J.
AU - Fabian Ehmke, J.
AU - Fiosins, M.
AU - Schmidt, D.
AU - Schumacher, H.
AU - Tchouankem, H.
PY - 2011
SP - 327
EP - 332
DO - 10.5220/0003598503270332

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