Efficient route guidance in vehicular wireless networks

Abstract

With the rapid proliferation of Wi-Fi technologies in recent years, it has become possible to utilize the vehicular wireless network to assist the route guidance for drivers in a cooperative approach, aiming to mitigating heavy traffic congestion. In this paper, we investigate into the route guidance problem in vehicular wireless network, and then propose two efficient routing algorithms, i.e., centralized route guidance and distributed route guidance, according to different situations. A hybrid framework is then proposed to provide optimized routing decisions in a uniform way. Simulation results in Simulation of Urban MObility (SUMO) indicate that, our route guidance schemes achieve much better performance than traditional GPS-based navigation and randomized routing.

Dynamic Route Optimization for Heterogeneous Agent Envisaging Topographic of Maps

“…The (Lee & Yang, 2012) purpose of the research was to design and develop crossbreed methodology for rerouting that can cope with dynamic traffic situation using huge network based on Dijkstra and genetic algorithm, installed in a car navigation system for re-routing with the transmitted of traffic information. Anticipated a centralized algorithm, (Sun, Xie, Chen, Lu, & Chen, 2014) based on Minimum-Cost Maximum-Flow Routing (MCMF-R), for the route planning, MCMF-R premeditated heavy traffic centered in rush hours. With a central control unit, the routing of MCMF-R can make full use of global traffic information.…”