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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 4, APRIL 2016

Study and Literature Survey for Safety Applications: Intelligent Transport System (ITS)

Miss. Pratibha L. Yadav, Prof. Sanjay S. Badhe, Prof. Santosh G. Bari

DOI: 10.17148/IJARCCE.2016.5436

Abstract: Connected vehicle technology aim to solve some of the biggest challenges in the transportation in the areas of safety, mobility and environment. The safety application for Intelligent Transport System (ITS) is one of the main objectives in this Paper we focus on V2V communication, once cars are connected which is able to share data with other cars on the road and which help to reduce Highway accidents. Ultimately, vehicles are connect via multiple complementary technologies of vehicle to-vehicle (V2V) and vehicle-to-infrastructure (V2I) connectivity based on Wi-Fi, Dedicated Short Range Communication (DSRC)/WAVE wireless media to periodically broadcast their position information along with the driving intentions as they approach intersections. We provide a realistic analysis of the VANET topology characteristics over time and space (Collision Detection) for a highway and intersection scenario to integrate real-world road topology and real-time data extracted from the freeway Performance Measurement System (PeMS) database into a microscopic mobility model to generate realistic traffic flows along the highway. Also provides Collision Detection Algorithm, SSM/TEM/TEMA model to improve throughput at crossing points. In this paper we investigate the use of vehicle-to-vehicle (V2V) communications by using above mentioned algorithms and models.



Keywords: ITS, V2V, DSRC WAVE wireless media, VANET, Collision Detection Algorithm, SSM/TEM/TEMA model, NS2, AVR Microcontroller, Sensor.

How to Cite:

[1] Miss. Pratibha L. Yadav, Prof. Sanjay S. Badhe, Prof. Santosh G. Bari, “Study and Literature Survey for Safety Applications: Intelligent Transport System (ITS),” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.5436