Toward urban vehicle mobility modeling in Japan
Toward urban vehicle mobility modeling in Japan
复制标题
日本城市车辆移动建模
DOI：
10.1145/3313237.3313298
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Yamaguchi, Hirozumi
中科院分区：
文献类型：
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作者：
Yamaguchi, Hirozumi
车辆移动数据对于智能交通、物流、城市规划和二氧化碳减排等多种类型的智慧城市应用具有重要意义。特别是，包含每辆车的位置、方向和速度的微观移动数据对于网络物理系统服务和应用来说很有前景。然而，由于成本、隐私和许多其他原因，很难从每辆真实车辆收集数据，因此可供公众使用的数据集非常有限。为了解决这个问题，本立场文件介绍了我们使用交通模拟器以及日本公开的统计和测量交通数据生成微观移动数据的挑战。我们希望这种方法有助于研究人员和服务设计人员超越微观移动数据集不可用带来的限制。
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.
自动驾驶车辆与手动驾驶车辆配合的行为研究
DOI：
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发表时间：
2019
期刊：
Proceedings of the 17th Annual IEEE International Conference on Pervasive Computing and Communications (PerCom2019)
影响因子：
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作者：
Yusuke Nishimura;Atsushi Fujita;Akihito Hiromori;Hirozumi Yamaguchi;Teruo Higashino;Akira Suwa;Hirofumi Urayama;Susumu Takeshima and Mineo Takai
通讯作者：
Susumu Takeshima and Mineo Takai