Server Communication Reduction for GPS-Based Floating Car Data Traffic Congestion Detection Method

Abstract

In large urban areas, traffic congestion is a perpetual problem for vehicle travelers because of the continuous and random flow of traffic. This causes congestion at multiple places due to delays in communication between server and vehicles. To reduce this communication delay and the associated costs, we have developed a server communication reduction policy using GPS-based floating car data (FCD), a traffic congestion detection method in which it is assumed that all vehicles act as sensor nodes that transmit their data to the server, and the server uses the data to calculate traffic congestion on that road segment and then broadcasts the updated real-time traffic data to the user. Using this updated data, vehicles can determine the optimal route for reaching their destination in the shortest amount of time. In this chapter, we analyze this reduction policy applied to traffic data for an Australian road network, consisting of approximately 300,000 samples from 11 different types of vehicles. We then present the results based on graphs and tables showing our improved outcomes.