Abstract

With the advent of wireless technologies, it has be en found that using wireless signals for the purpos e of vehicular traffic management is the most cost effective process as wireless sign ature are available across all terrains and it is ubiquitous. As the road space is not expanding in line with the growth of automobiles, tcongestion is bound to increase on a regular basis. The only way to avoid vehicular congestion is to have a regulated traffic movement plan in a real time basis. During the las t decade, a number of methods were developed to obtain real time data on vehicle movements such as using RFID, Wireless Sensor Netwo rks, VANETs, Mobile Technologies, Infrared signals, Cameras etc. A numb er of studies have been carried out to find out opt imum vehicle traffic management to predict and manage traffic congestion and these studies have its own merits and demerit s .Most studies have not been conclusively proved to be effective to address the issues concerned with road traffic management becau se of implementation difficulties, data inaccuracies, difficulty in real time application and cost. This is causing serious safety concerns in traffic management because of the tremendous growth in the number of vehicles and the non-availability of effe ctive traffic management system. This paper is a comparative study of existi ng methods for detecting vehicular traffic density by using wireless signals.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.