Traffic Congestion Detection and Management Using VANET

May 2016
Vol-2, Issue-3
Paper ID: 2412
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
VANET(Networking)
Keywords
VANET Broadcast Alert message High delivery ratio Less Congestion Throughput
Abstract
The well-known traffic congestion problem in every environment has negative impact on many areas including economy, environment, health and lifestyle. Recently, a number of solutions based on vehicle-to- vehicle communications were proposed for traffic congestion detection and management. Vehicular Ad hoc networks (VANETs) are used to collect and aggregate real-time speed and position information on individual vehicles to optimize signal control at traffic intersections. Vehicular ad hoc network (VANET) is a promising technology to enable the communications among vehicles. But some problems occur during the transmission of messages like Low Energy signals , Delays in Reporting signals ,Signals are Easy to duplicate .Due to this problem result become low delivery ratio ,less throughput and high load so overcome this problem, We present a strategy to control traffic congestion with the help of Vehicle-to- Vehicle (V2V) and Vehicle to infrastructure (V2I) communication. This is achieved by transmission of messages which alerts the drivers about possible traffic breakdown. The message transmitted will guide the driver so as to take the decision needed to control the traffic congestion. In this paper proposed Greedy Forwarding and Event Driven Safety message to improve packet delivery ratio and throughputs.

Author Information

# Name Institute / Affiliation
1 Roma Bharatbhai Patni L.J collage of Institute Eng. &Technology
2 Mrs. Gayatri Jain L.J collage of Institute Eng. &Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style
Patni, Roma Bharatbhai & Jain, Mrs. Gayatri (2016). Traffic Congestion Detection and Management Using VANET. International Journal of Advance Research and Innovative Ideas In Education, 2(3), 1274-1280.
MLA Style
Patni, Roma Bharatbhai, and Mrs. Gayatri Jain. "Traffic Congestion Detection and Management Using VANET." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, 2016, pp. 1274-1280.
IEEE Style
Roma Bharatbhai Patni and Mrs. Gayatri Jain, "Traffic Congestion Detection and Management Using VANET," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, pp. 1274-1280, 2016.
Vancouver Style
Patni Roma Bharatbhai, Jain Mrs. Gayatri. Traffic Congestion Detection and Management Using VANET. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):1274-1280.
Harvard Style
Patni, Roma Bharatbhai & Jain, Mrs. Gayatri (2016) 'Traffic Congestion Detection and Management Using VANET', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 1274-1280.
Chicago Style
Patni, Roma Bharatbhai and Mrs. Gayatri Jain. "Traffic Congestion Detection and Management Using VANET." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 1274-1280.
Turabian Style
Patni, Roma Bharatbhai and Mrs. Gayatri Jain. "Traffic Congestion Detection and Management Using VANET." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 1274-1280.

Export Citation

Related Research

CYBERSECURITY WITH AI
SAHANA MURTHY 2026 Computer Science
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
Pankaj Nandan et al. 2026 Computer Science
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
Sharan Subhas Savalagi et al. 2026 Computer Science and Engineering
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
Sheshank et al. 2026 Computer Science and Engineering
PDF Unavailable