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Smart city article details

Title	Toward Urban Vehicle Mobility Modeling In Japan
ID_Doc	57774
Authors	Yamaguchi H.
Year	2019
Published	SCOPE 2019 - Proceedings of the 2019 International Science of Smart City Operations and Platforms Engineering
DOI	http://dx.doi.org/10.1145/3313237.3313298
Abstract	Vehicle mobility data is significant for many types of smart city applications such as smart transportation, logistics, urban planning, and carbon dioxide emissions reduction. Particularly, microscopic mobility data, in which the location, direction, and speed of each vehicle are included, is promising for cyber-physical systems services and applications. Nevertheless, there are only limited datasets available to the public due to the difficulty of collecting the data from each real vehicle due to cost, privacy, and many other reasons. To address the issue, this position paper introduces our challenge of generating microscopic mobility data using traffic simulator as well as publicly available statistical and measured traffic data in Japan. We hope this approach contributes to those researchers and service designers to move beyond the limitation that comes from the microscopic mobility dataset unavailability. © 2019 ACM.
Author Keywords	road traffic; smart city; vehicle mobility dataset; vehicle mobility generation

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