An Intelligent Traffic System Based on Internet of Vehicles Using Adaptive Traffic Management Algorithm.

Many countries face the traffic related issues regardless of the wide effects adopted for developing and improving the traffic flow. Depending on the drawbacks of existing traffic management systems like inefficient time management, absence of priority options and lack of dynamic and adaptive services, the need for the incorporation of intelligent concepts is mandatory. This facilitates the replacing of traditional approaches with an array of sensors and artificial intelligence (AI) through vehicle traffic control system. In this paper, the intelligent traffic system (ITS) is proposed on the basis of techniques such as internet of vehicles (IOV) and vehicular adhoc network (VANET). A road side unit (RSU) controller connected with the traffic control system acts as the key component of ITS. The on board unit (OBU) is fixed with each vehicle, which exchanges the real time information with RSU (road side unit) and other OBUs. Additionally, an adaptive traffic management algorithm (ATMA) is provided to govern the ITS for the generation of high performance outputs. Furthermore effectiveness of ATMA in the proposed work is proved by simulation using Python. Eventually, the ATMA is compared with fixed-time (FT) algorithm and traffic signal control algorithm (TSCA) under various traffic conditions. The findings depicts that the proposed ATMA-based ITS outperforms the current traffic management systems in terms of average waiting time (AWT) obtained as 277.5s with respect to number of vehicles and 282.14s with respect to number of roads at an intersection. Added to this average number of serviced vehicles is given by 1731 with respect to the number of roads. [ABSTRACT FROM AUTHOR]