PTFM: Pre-processing Based Traffic flow Mechanism for Smart Vehicular Networks

Abstract

Vehicles on the roads in urban areas increased exponentially over the last few decades which leads to numerous traffic-related problems. The traffic flow is getting disrupted due to traffic jams, congestions, collisions, and various other hazards. As a result of this the average fuel consumption, travel time, and pollution level is rising at a faster rate. The average speed of travel for vehicles slows down, especially in urban areas. This paper proposed a mechanism (PFTM) that is based on the pre-processing of information on an additional node which is called a shortcut node for managing the vehicular flow data. For every vehicle data and road, information is processed by using this node and saved for future use. This information is used in the future to guide the vehicles to follow better routes. In this article, the proposed mechanism is compared with the existing mechanism NRR, DIVERT and RE-route. The results of PFTM outperform the existing solutions.