Scheduling Algorithm For Adaptive Traffic Light Under VANET Scenario

Abstract

Traffic congestion is one of the main problems facing drivers around the world and especially in urban road network where wasted time and fuel are major concern. Improving the city's transportation system requires improving traffic signal controllers and adopting new technology. Therefore, intelligent transportation systems are important in reducing congestion and accidents, increasing traffic safety and reducing air pollution. In this paper, scheduling algorithm based on VANET scenario is proposed to analysis an isolated intersection (in Ramadi city) as a case study. This has been done by implementing a dynamic scheduling algorithm that schedules competing traffic flows. The proposed algorithm (called Scheduling Traffic Light STL) aims to increase traffic flow by utilizing the excess of green signal time to reduce the waiting time for mobile vehicles at the intersection. The results show a significant improvement in traffic transmission rate and reduced waiting time compared to traditional (i.e. fixed) cycle time currently used in our case study.