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Developing an Agent-Based Simulator Combining Mesoscopic Traffic Simulator with Dynamic Vehicle Allocation System to Evaluate a Ride-Sharing Service in Urban Area

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Abstract

In this study, we developed an advanced agent-based simulator which allows an agent-based mesoscopic traffic simulator to cooperate with a dynamic vehicle allocation system. This simulator can reproduce a dynamic vehicle allocation service in real world through its Web API. We implemented this simulator to evaluate ride-sharing taxi services in Kumamoto City to compare with the conventional taxi services. Based on simulation results, the ride-sharing taxi service is more effective. The average time from booking a ride to arriving at the intended destination was significantly reduced as the number of vehicles increased; however, the average occupancy rate of vehicles decreased.

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Funding

This work of research was carried out with the support of grant FY2020 “Technical Research and Development Contribution to Improvement of Road Policy Quality” supported by Ministry of Land, Infrastructure, Transport and Tourism.

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Authors and Affiliations

  1. Graduate School of Science and Technology, Kumamoto University, 2-39-1, Kurokami, Chuou-ku, Kumamoto, 8608555, Japan

    Toshikatsu Mori

  2. Faculty of Economics, Kumamoto Gakuen University, 2-5-1, Oe, Chuou-ku, Kumamoto, 8628680, Japan

    Shoshi Mizokami

  3. Institute of Innovation for Future Society, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 4648603, Japan

    Ryo Kanamori

  4. Kumamoto Institute of Policy Research, 1-1, Tetorihonmachi, Chuou-ku, Kumamoto, 8600806, Japan

    Qiang Liu

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  1. Toshikatsu Mori
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Correspondence to Shoshi Mizokami.

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Mori, T., Mizokami, S., Kanamori, R. et al. Developing an Agent-Based Simulator Combining Mesoscopic Traffic Simulator with Dynamic Vehicle Allocation System to Evaluate a Ride-Sharing Service in Urban Area. Int. J. ITS Res. 21, 115–128 (2023). https://doi.org/10.1007/s13177-022-00337-x

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  • DOI: https://doi.org/10.1007/s13177-022-00337-x

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