An Intelligent Secure Traffic Management System Based On Vanet

In this paper, vehicular ad hoc networks (VANETs) is used to collect and aggregate real-time speed and position information on individual vehicles to optimize signal control at traffic intersections.First formulate the vehicular traffic signal control problem as a job scheduling problem on processors ,with jobs corresponding to platoons of vehicles. Under the assumption that all jobs are equal size, By using an online algorithm,which referred to as the oldest job first (OJF) algorithm ,to minimize the delay across the intersection. The OJF algorithm is 2-competitive ,implying that the delay is less than or equal to twice the delay of an optimal offline schedule with perfect knowledge of the arrivals .It show that ,how a VANET is used to group vehicles into approximately equal-sized platoons ,which can then be scheduled using OJF .The two-phase approach are used ,where first approach is to group the vehicular traffic into platoons and then apply the OJF algorithm ,i.e.,the oldest arrival first (OAF) algorithm .Our simulation(NS2) results shows that ,under light and medium traffic loads ,the OAF algorithm reduce the delay experienced by vehicles as they pass through the intersection ,as compared with vehicle-actuated methods ,Webster's method ,and pre-timed signal control methods .Under heavy vehicular traffic load ,the OAF algorithm performs the same as the vehicle-actuated traffic method but still produces the lowest delay ,as when compared with Webster's method and the pre-timed signal control method.