An Intelligent Traffic Light Control System Based on Dual Mode Special Vehicle Identification

Abstract

Smart transportation is a major aspect of smart city which aims at improving traffic operation level, dispatching and overall supervision. How to alleviate traffic congestion, which is particular severe in large cities, is a cardinal facet of transportation. Special vehicles refer to vehicles dedicated to special tasks, like police cars, ambulances and are very dependent on road patency. It could be a life matter if a special vehicle on a mission encounters traffic congestion. Most of the existing traffic control systems do not target on special vehicles. Existing traffic control systems for special vehicle have weaknesses like unable to precisely detect the condition of special vehicles. In this paper, we proposed a traffic light control system based on dual mode identification, which aims at providing priority for special vehicles in a crowded city. By using dual mode identification, the condition of vehicles can be more precisely defined and accuracy performance is improved. In addition, we applied control and compensate time for the intersection to prioritize special vehicles and restore original state. In the system simulation and evaluation results, the proposed traffic light control system achieves 29% of time saving for special vehicles to get through an intersection and the intersection requires 4 cycles to fully recuperate to original condition.