DISCRETE EVENT SIMULATION OF A ROAD INTERSECTION INTEGRATING V2V AND V2I FEATURES TO IMPROVE TRAFFIC FLOW

Traffic congestion leads to waste of time and has tremendous impact on the environment. To reduce traffic congestion, vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communication have been explored and implemented. This paper focuses on integrating features of gap acceptance behavior proposed in V2V and road segment occupancy & intelligent traffic light phasing of V2I. Three separate simulation models have been presented in this study. A design of experiment generated thirty scenarios to capture the overall traffic flow performance in terms of total time and waiting time in the system, WIP and system efficiency. Results revealed that the proposed V2I simulation model in which routing was based on traffic light availability decreased the waiting time, total time and WIP significantly compared to baseline and smart traffic light vehicle flow model. The routing principle in the latter two models was based on space availability approach.