Traffic Simulation in Urban Networks Using Stochastic Cell Transmission Model |
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Authors: | Rafik Hadfi Sho Tokuda Takayuki Ito |
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Affiliation: | 1. Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Nagoya, Japan;2. School of Techno‐Business Administration, Graduate School of Engineering, Nagoya Institute of Technology, Nagoya, Japan |
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Abstract: | The stochastic cell transmission model (SCTM) is a macroscopic traffic simulation model of high accuracy. One of its advantages is that it can represent the uncertainty of the traffic states and the changing travel demand and supply conditions. However, it has been applied to freeways and simple networks having only one origin‐destination pair. In this article, we propose a modified stochastic cell transmission model (M‐SCTM) that applies the conventional SCTM to urban networks. In M‐SCTM, we introduce vehicle agents as well as their route choice behavior on an urban network, which is more applicable to complex urban networks. Additionally, M‐SCTM was applied to networks in which the turning ratio is not priorly set through a route search algorithm. The results show that M‐SCTM can conduct simulations with as much accuracy as SCTM. Furthermore, we verified the appropriate reproducibility of the simulations based on M‐SCTM and compared the estimated value and the measured value in terms of the travel time of each vehicle. |
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Keywords: | agent simulation multiagent systems route search stochastic cell transmission model traffic simulation urban network |
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