Proceedings of the 2nd International Conference on Electrical and Electronic Engineering (EEE 2019)

Road Traffic Congestion Detecting by VANETs

Authors
En-zhan Zhang, Xia Zhang
Corresponding Author
Xia Zhang
Available Online July 2019.
DOI
https://doi.org/10.2991/eee-19.2019.39How to use a DOI?
Keywords
Vehicular ad-hoc networks, Traffic congestion, Traffic detection
Abstract
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 ad-hoc 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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Electrical and Electronic Engineering (EEE 2019)
Part of series
Advances in Engineering Research
Publication Date
July 2019
ISBN
978-94-6252-754-6
ISSN
2352-5401
DOI
https://doi.org/10.2991/eee-19.2019.39How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - En-zhan Zhang
AU  - Xia Zhang
PY  - 2019/07
DA  - 2019/07
TI  - Road Traffic Congestion Detecting by VANETs
BT  - 2nd International Conference on Electrical and Electronic Engineering (EEE 2019)
PB  - Atlantis Press
SP  - 242
EP  - 248
SN  - 2352-5401
UR  - https://doi.org/10.2991/eee-19.2019.39
DO  - https://doi.org/10.2991/eee-19.2019.39
ID  - Zhang2019/07
ER  -