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Toward urban vehicle mobility modeling in Japan

Published: 15 April 2019 Publication History

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.

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cover image ACM Other conferences
SCOPE '19: Proceedings of the Fourth Workshop on International Science of Smart City Operations and Platforms Engineering
April 2019
59 pages
ISBN:9781450367035
DOI:10.1145/3313237
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 15 April 2019

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Author Tags

  1. road traffic
  2. smart city
  3. vehicle mobility dataset
  4. vehicle mobility generation

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