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
收藏
页码：386 / 390
页数：5
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