An Application of Wireless Sensor Network in Intelligent Transportation System

Abstract

Intelligent Transportation System (ITS) encompasses many functions such as traffic surveillance, parking assist, accident avoidance, driverless vehicle etc. It is widely proposed to use recent advances in Wireless Sensor Network (WSN) technologies for ITS applications. Flexibility, ease in installation and maintenance, low cost and high accuracy of WSN make it a prospective candidate for replacing contemporary technologies in use for vehicle detection and classification. This approach is an improvisation and advancement of already developed algorithms. Detection state machine (DSM) and K-Nearest Neighbour algorithm is used to detect and classify vehicle. This approach has the accuracy of 100% and it has been verified that the algorithm enhances the performance of vehicle surveillance with high precision and robustness.