Road Traffic Congestion Detecting by VANETs

被引：0

作者：

Zhang, En-zhan ^{[1
]}

Zhang, Xia ^{[1
]}

机构：

[1] Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Gansu, Peoples R China

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONIC ENGINEERING (EEE 2019) | 2019年 / 185卷

关键词：

Vehicular ad-hoc networks; Traffic congestion; Traffic detection;

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：

Accurate traffic congestion detection methods are needed urgently to improve road traffic pressure and congestion, especially in metropolitan areas. This paper proposes TraD-VANET, a new road traffic detection system that employs RFID-based active vehicle positioning and vehicular adhoc networks (VANETs) to detect traffic congestion dynamically. The results can be used to making road traffic flow more fluent and effective. To validate the performance of TraD-VANET, we ran a simulation compared with cooperative traffic congestion detection (CoTEC). The simulation results shown that TraD-VANET has a good performance.

引用

页码：242 / 248

页数：7

共 13 条

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