Abstract
In these years, the traffic jam becomes a serious problem according to the increasing of vehicle holders in Japan. One of the key issues to ease the traffic jam is a traffic signal control, i.e., optimization of traffic signal parameters (cycle, split, and offset). The information technologies such as probe car and road-to-vehicle communication enable to progress to the next stage for the traffic signal control. In this paper, we focus on “expected traffic congestion (ETC)” which is a simple indicator for traffic jam. The value of ETC is based on the shared probe data (i.e., path information) among vehicles by road-to-vehicle communication. We apply the ETC to the optimization of traffic signal parameters. Moreover, in order to evaluate the effectiveness of the optimization, we introduce “AVENUE” which is a popular traffic stream simulator. We developed an outer module to calculate the ETC and update the traffic signal parameters for AVENUE. The experimental results using the outer module and AVENUE indicate that our traffic signal control can reduce the traveling time of vehicles.
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Mukai, N., Ezawa, H. (2012). Simulation Evaluation for Traffic Signal Control Based on Expected Traffic Congestion by AVENUE. In: Watanabe, T., Jain, L.C. (eds) Innovations in Intelligent Machines – 2. Studies in Computational Intelligence, vol 376. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23190-2_18
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DOI: https://doi.org/10.1007/978-3-642-23190-2_18
Publisher Name: Springer, Berlin, Heidelberg
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