Intelligent traffic signal control for urban central using Vehicular Ad-Hoc Network

The current study proposes a novel real-time traffic signal controlling system which takes advantage of Vehicular Ad-hoc Network (VANET). The proposed system comprises two main phases. The first phase includes estimation of vehicles' density in road segment leading to intersection by utilizing the combination of Vehicle-to-Vehicle (V2V) communication and Vehicle-to-Infrastructure (V2I) communication for transferring the acquired information to the Traffic Controller. The second phase contains assessment and analysis of obtained data from the first part to create various adaptive traffic signal cycles to control the traffic congestion. The most distinct capability of this approach which makes it more effective in comparison with its rival approaches, is controlling the traffic flow of vehicles in adjacent intersections by considering the future destination of vehicles and anticipation in traffic signal timing of contiguous intersections. The simulation results demonstrate the efficiency of proposed method in comparison with one of the known VANET-based traffic signal controlling systems methods named MC_DRIVE from the matter of reduction in communication overhead, relative delay of the vehicles in the intersection and accuracy of vehicles' density estimation.