协同自适应巡航控制
巡航控制
智能交通系统
计算机科学
浮动车数据
车辆信息通信系统
无线
流量(计算机网络)
交通优化
自适应控制
流量(数学)
工程类
控制(管理)
计算机网络
运输工程
交通拥挤
道路交通
电信
人工智能
数学
几何学
作者
Bart van Arem,C.J.G. van Driel,Robin Visser
出处
期刊:IEEE Transactions on Intelligent Transportation Systems
[Institute of Electrical and Electronics Engineers]
日期:2006-12-01
卷期号:7 (4): 429-436
被引量:1204
标识
DOI:10.1109/tits.2006.884615
摘要
Cooperative adaptive cruise control (CACC) is an extension of ACC. In addition to measuring the distance to a predecessor, a vehicle can also exchange information with a predecessor by wireless communication. This enables a vehicle to follow its predecessor at a closer distance under tighter control. This paper focuses on the impact of CACC on traffic-flow characteristics. It uses the traffic-flow simulation model MIXIC that was specially designed to study the impact of intelligent vehicles on traffic flow. The authors study the impacts of CACC for a highway-merging scenario from four to three lanes. The results show an improvement of traffic-flow stability and a slight increase in traffic-flow efficiency compared with the merging scenario without equipped vehicles
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