A Novel Assistive On-ramp Merging Control System for Dense Traffic Management

被引：0

作者：

Chen, Weihai ^{[1
]}

Zhao, Zheng ^{[1
]}

Liu, Zhong ^{[1
]}

Chen, Peter C. Y. ^{[2
]}

机构：

[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China

[2] Natl Univ Singapore, Dept Mech Engn, Singapore 117576, Singapore

来源：

PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2017年

基金：

美国国家科学基金会;

关键词：

ARMCON; on-ramp merging; driver behavior; traffic management; TRAVEL-TIME PREDICTION; FLOW; MODEL;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

On-ramps are area of frequent traffic congestion. Proper traffic guidance around on-ramp merging areas exerts a positive effect on the relief of traffic congestion. The objective of this paper is to design an assistive ramp-merging control (ARMCON) system. It utilizes knowledge about professional driver behavior and the dynamical relationship among the on-ramp vehicles, to produce timely information so as to guide the on-ramp drivers when merging with the main traffic flow. Under the guidance of ARMCON, disruption of the main traffic on the express way is minimized while a certain merging rate is maintained.

引用

页码：386 / 390

页数：5

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