Design of adaptive traffic signal re-timing in vehicular ad-hoc network

In this paper we intend to use vehicular ad hoc network to together and assemble real -time speed and position information on single vehicles to optimize signal control at traffic byroad. first specify systematically the vehicular traffic signal control difficulty as a job scheduling difficulty on processors with job equivalent to platoons of vehicles. Then jobs are planned using an online algorithm called Oldest Job First (OJF) algorithm to reduce the interruption across the roundabout. The OJF algorithm is 2-competitive imply that the intrusion is less than or equivalent to twice the interruption of an optimal offline schedule with just right knowledge of the arrivals.

It show that, how a VANET is used to group vehicles into about equal-sized platoons, which can then be schedule using OJF. The two-phase advance are used, where first advance is to collection the vehicular traffic into platoons and then apply the OJF algorithm, i.e. the oldest arrival first (OAF) algorithm. Our simulation (.Net ) result shows that, However, further analysis is needed in order to obtain the useful information for traffic management such as real time traffic density and number of vehicle types transient these roads. This paper presents tragedy vehicle alert and traffic density calculation methods used.