City planning supported by large-scale traffic simulator

被引：0

作者：

Mizuta, Hideyuki ^{[1
]}

Osogami, Takayuki ^{[1
]}

Suzumur, Toyotaro ^{[1
]}

Idé, Tsuyoshi ^{[1
]}

机构：

[1] IBM Research - Tokyo, NBF Toyosu Canal Front, Koto-ku, Tokyo 135-8511, 5-6-52, Toyosu

来源：

IEEJ Transactions on Electronics, Information and Systems | 2013年 / 133卷 / 09期

关键词：

Agent; City Planning; Large-scale Simulator; Machine Learning; Traffic Simulation;

D O I：

10.1541/ieejeiss.133.1632

中图分类号：

学科分类号：

摘要：

We evaluate the effectiveness of real planning and control about the traffic in Hiroshima city by simulating the traffic flows in the entire city. Our massively parallel simulation of minute behavior of individual drivers is made credible by the use of novel techniques for learning the parameters of simulation models from available data. © 2013 The Institute of Electrical Engineers of Japan.

引用

页码：1632 / 1635

页数：3

共 7 条

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[2]

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