Traffic congestion detection with complex event processing in VANET

Abstract

Magnitude of urban population and unplanned development of cities have led to road traffic congestion in major cities and added increasing pressure on overall road transport and road related infrastructure. Nowadays, intelligent transportation systems such as Vehicular Ad Hoc Networks (VANET) are used for distributed road traffic. VANET is a wireless network that gathers complex and randomly generated data related to distributed traffic along with other information such as weather conditions on real time basis. In this paper, the Author has attempted to implement a system on Event Driven Architecture (EDA) to detect complex but similar levels of traffic congestion which resembles real life traffic situation. The system is designed with the help of a technique called Complex Event Processing (CEP) that treats all messages in the network from corresponding vehicles as an event. The effectiveness of this system can be observed by using different performance metrics.