Abstract
For future transportation, boarding type personal mobilities are considered promising. On introducing such mobilities in community, sharing is more prospective than owing. In this paper, we aim at considering expected change of human behavior, including modal shift, by introducing such mobilities in society. In the hope of large scale demand prediction and optimal planning of both location and capacity of the personal mobility sharing stations, we have developed a prototype multi-agent simulator. Parameters of simulation are determined by sharing experiments in Mobility Robot Experimental Zone in Tsukuba using Toyota Winglet long type and conjoint analysis based on questionnaires. We obtained preliminary results for a realistic situation.
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This study was conducted in NEDO IT Fusion Project.
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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Tomita, K., Hashimoto, N., Matsumoto, O. (2015). Multi-agent Simulator for Personal Mobility Vehicle Sharing. In: Giaffreda, R., Cagáňová, D., Li, Y., Riggio, R., Voisard, A. (eds) Internet of Things. IoT Infrastructures. IoT360 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 151. Springer, Cham. https://doi.org/10.1007/978-3-319-19743-2_25
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DOI: https://doi.org/10.1007/978-3-319-19743-2_25
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