Bonfring International Journal of Industrial Engineering and Management Science

Online ISSN: 2277-5056 Print ISSN: 2250-1096 Frequency: 4 Issues/Year

Impact Factor: 0.541 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)

Smart Traffic Management for Collision Avoidance Using V2V

V. Naren Thiruvalar and E. Vimal


Abstract
The main objective of this project is to connect the vehicles together and avoid accidents by using V2V Communication. The vehicles are to be connected together by means of DSRC algorithm which is used for transceiving alert messages among the connected vehicles, in case of any emergency situation such as accidents. The Vehicle-to-Vehicle (V2V) and Vehicle-to- Infrastructure (V2I) technologies are specific cases of IoT and key enablers for Intelligent Transportation Systems (ITS). V2V and V2I have been widely used to solve different problems associated with transportation in cities, in which the most important is traffic congestion. A high percentage of congestion is usually presented by the inappropriate use of resources in vehicular infrastructure. In addition, the integration of traffic congestion in decision making for vehicular traffic is a challenge due to its high dynamic behaviour. An increase in the infrastructure growth is a possible solution but turns out to be costly in terms of both time replicas de relogios de luxo and effort. Various applications that target transport efficiency could make use of the vast information collected by vehicles: safety, traffic management, pollution monitoring, tourist information, etc.
Keywords Smart Traffic Management, V2V, DSRC.
Volume 11
Issue 1
Pages 01-07
Issue Date February , 2021
Full Text
Open Access
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