Optimizing infrastructure placement with genetic algorithm: a traffic management use case

Abstract

Infrastructure-based approaches are the key to achieve the strict requirements of traffic optimization services. In this scenario, the communication between vehicles and roadside units (RSUs) is essential to empowering the efficiency of traffic management solutions. However, most of vehicular re-routing solutions do not consider the effects of the signal degradation caused by urban obstacles in their system, which may not lead to the desired performance. In this scenario, this work proposes ORC (Optimizing RSU Coverage) an RSU placement optimization based on genetic algorithm considering signal degradation of urban obstacles for traffic management systems. Simulation results have shown that the proposed optimization improves the coverage and the services delivered by the system. In particular, ORC increases the coverage area in at least 15% and improves the vehicular traffic mobility in at least 20% when compared to literature solutions.