A Novel Weighted Average Accuracy Routing Algorithm for Traffic Forecasting in Decentralized Networking System

Abstract

Traffic congestion is a situation on road system that lead vehicles to move slowly, increase in vehicle queue length and change in long trip time. This method requires accurate forecast for vehicles which needs the accurate status information. The most important challenge is that vehicles are distributed on large scale road framework. The real time traffic information is provided to advance vehicle guidance system but it works only when the traffic occurs. For traffic data prediction the AVR method is used. This method gives powerful decentralized method for anticipatory vehicle routing and it is mainly used in large scale dynamic environment along with some experiments and algorithms. This method is based on dMAS, it is an environment centric coordination technique and it is encouraged by ant behavior. This research mainly target to give traffic predictions in road networks and it is more powerful to reduce traffic