Minimizing Response Time of IoT-Based Traffic Information System through Decentralized Server System

Abstract

Many metropolises seek to relieve traffic congestions and reduce vehicle accidents by implementing Intelligent Traffic Information Systems. These systems manage continuous communication between vehicles, various roadside IoT devices and a central server in real time for traffic control and vehicle navigations. Short response time is critical to the success of these time-sensitive systems. For a small area, a system with centralized server architecture may just work fine. For a larger area with more IoT devices and traffic, however, the system may experience excessive response time as a result of increased network distance and constrained server processing capacity. We propose a decentralized server system to properly manage and reduce service response time. We have also developed a binary nonlinear constrained programming model with Genetic Algorithm for a heuristic solution.