Simulation Of Traffic Congestion Detection Using VANETs

被引：0

作者：

Anjum, Nimra ^{[1
]}

Badruddin, Nasreen ^{[1
]}

Drieberg, Micheal ^{[1
]}

机构：

[1] Univ Teknol Petronas, Dept Elect & Elect Engn, Tronoh 31750, Perak, Malaysia

来源：

2014 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEMS (ICIAS 2014) | 2014年

关键词：

Vehicular Ad-hoc networks; Mobile Ad-hoc networks; GrooveNet simulator;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this progressive world traffic congestion is a critical issue. It results in huge amount of time and resources loss. Vehicles in congestion is a valuable parameter for drivers to anticipate the state of congestion. The proposed approach is based on relating the relationship of different transmission ranges with vehicle density. This research work uses a GrooveNet simulator, which is based on real street maps and plays a major role in discovering and disseminating congestion information. Our simulation results are based on average values of number of vehicles caught in congestion with respect to transmission range and vehicle density.

引用

页数：4

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