Computer Science Engineering, Tagore Engineering College/ AnnaUniversity, India
Traditional Automated traffic signal control systems normally schedule the vehicles at intersection in a pre timed slot manner.This pre-timed controller approach fails to minimize the waiting time of vehicles at the traffic intersection as it doesn't consider the arrival time of vehicles.To overcome this problem an adaptive and intelligent traffic control system is proposed in such a way that a traffic signal controller with wireless radio installed at the intersection and it is considered as an infrastructure.All the vehicles are equipped with onboard location, speed sensors and a wireless radio to communicate with the infrastructure thereby VANET is formed.Once the vehicles enter into the boundary of traffic area, they broadcast their positional information as data packet with their encapsulated ID in it.The controller at the intersection receives the transmitted packets from all the legs of intersection and then stores it in a temporary log file.Now the controller runs Platooning algorithm to group the vehicles approximately in equal size of platoons.The platoons are formed on the basis of data disseminated by the vehicles.Then the controller runs Oldest Job First algorithm which treats platoons as jobs.The algorithm schedules jobs in conflict free manner and ensures all the jobs utilize equal processing time i.e the vehicles of each platoons cross the intersection at equal delays.The proposed approach is evaluated under various traffic volumes and the performance is analyzed.
Nitin MaslekarMounir BoussedjraJoseph MouznaHouda Labiod