Traffic Congestion Detection in Vehicular Adhoc Networks using GPS

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 2

Abstract

In today’s world traffic congestion is the critical issue. Huge amount of time, fuel and money is wasted due to traffic jams all around the world. Drivers select the path that they consider will be the fastest; however the inability of drivers to know the road situation ahead creates severe congestion. The competency of a driver to know the traffic situation on roads will make the driver capable of saving time and fuel by taking alternative routes. In this work we have proposed a traffic congestion detection system using Vehicular adhoc networks (VANETs), which will provide efficient communication between cars and infrastructure and propagate real time information about traffic congestion to the drivers. We also uses the GPS device to detect the congested areas and defines various works

Authors and Affiliations

Disha Shrivastava, Arun Agrawal

Keywords

Related Articles

 Face Recognition Techniques - A Review

 Abstract: Human faces are major identity mark. Face recognition is the active research area in real time applications. Face detection has many applications in biometrics, video surveillance , robotics, control of...

 Bluetooth Based Automatic Hotel Service System Using Python

 This paper describes a Bluetooth based automatic hotel service system. This paper describes the protocol and provides the implementation details. Nowadays hotels are spending lot of money for the attendance, t...

 A Cost Efficient Method to Prevent Fire Accidents in Garbage Dumps of Trichirapalli Corporation Using an Internet of Things Middleware

 Abstract: This paper aims at development of a prevention mechanism for avoiding major fire accidents in garbage dumps with the help of Internet of Things Middleware. Internet of Thing Middleware enables communicati...

 Production of Clean Fuel from Waste Biomass using Combined Dark and Photofermentation

 Sequential dark and photo- fermentation is a rather new approach in biological hydrogen gas production. In the present work, two-stage fermentation process consisting of dark and photo-fermentation periods was ca...

 A Quantitative Measurement of Software Requirement Factors using Goal Question Metric (GQM) Approach

 Abstract: Every application software that we propose to develop can be thought of a group or collection of related requirements specified by the user and these requirements are the foundation from which the quality...

Download PDF file
  • EP ID EP99691
  • DOI 10.9790/0661-16216369
  • Views 111
  • Downloads 0

How To Cite

Disha Shrivastava, Arun Agrawal (2014). Traffic Congestion Detection in Vehicular Adhoc Networks using GPS. IOSR Journals (IOSR Journal of Computer Engineering), 16(2), 63-69. https://europub.co.uk/articles/-A-99691