Eco-Driving for Public Transit in Cyber-Physical Systems Using V2I Communication - 文章详情页

作者：

Zhang, Liguo (Zhang, Liguo.) (学者：张利国) | Liang, Wenjia (Liang, Wenjia.) | Zheng, Xiuzheng (Zheng, Xiuzheng.)

收录：

EI Scopus

摘要：

This　paper　studies　the　eco-driving　of　public　transit　using　the　information　of　the　traffic　signal　and　the　passengers　obtained　with　V2I　infrastructure.　An　optimal　control　is　formulated　to　minimize　the　vehicle　exhaust　emission　and　avoid　the　extra　stops　at　the　intersection.　The　numerical　algorithm　is　proposed　by　integrating　the　rolling　horizon　optimization　with　the　branch　and　bound　method.　The　optimal　driving　velocity　is　displayed　to　the　drivers　via　mobile　applications.　A　traffic　network　in　Xicheng　District,　Beijing,　is　chosen　to　investigate　the　performance　of　the　developed　eco-driving　approach.　©　2017,　Springer　Science+Business　Media　New　York.

关键词：

Cyber Physical System Hybrid systems Vehicle to infrastructure Branch and bound method Embedded systems Numerical methods Traffic signals Urban transportation

作者机构：

[ 1 ] [Zhang, Liguo]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 2 ] [Liang, Wenjia]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 3 ] [Zheng, Xiuzheng]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China

通讯作者信息：

张利国
[zhang, liguo]school of electronic information and control engineering, beijing university of technology, beijing, china

电子邮件地址：

zhangliguo@bjut.edu.cn

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