A vehicular dynamics based technique for efficient traffic management

The passive control of traffic lights especially in urban scenario can adversely affect the movement of vehicles. The uneven distribution of vehicles on different lanes due to statically varying traffic lights also severely affects factors such as vehicle waiting time, fuel consumption as well as environment. This paper proposes a Vehicle to Roadside based data dissemination scheme that periodically considers vehicular density, average velocity of vehicles and current traffic scenario (current time and day) within the range of a particular Road Side Unit to dynamically manage traffic lights duration and mitigate congestion problem. The above three values will also be used to categorize the lanes into three classes i.e. densely populated; medium populated or sparsely populated lanes which is used as the basis for vehicles commuting through that lane in future. The Road Side Units then broadcast this information to all the traffic lights in the region and accordingly the proposed system computes the optimum values of time duration for all the traffic lights. By combining traffic lights with the lane classes, the proposed scheme improves the overall vehicular traffic throughput. Simulation results exhibit the superior performance of scheme in comparison to statically controlled traffic light based conventional timing system.