Adaptive traffic management and dynamic optimal redirection using particle swarm optimization

Intelligent Traffic Monitoring has been an area of avid research in the past decade. The aim of this research paper is to present a novel design of an adaptive traffic control system that ensures fair scheduling and provides dynamic suggestions of optimal routes to neighbourhoods based on traffic intensity information collected by piezoelectric strips installed on the road. The time slice for each of the four directions of traffic movement at a signal junction is dependent on the traffic intensity in that direction and a state machine is used to adjust the time slices while a round-robin fashion of scheduling traffic movement is maintained. Swarm particle optimization algorithm is employed by a centralized control unit that has the traffic intensity information from all neighbourhoods to provide optimal route suggestions to different neighbouring areas, at each signal.