Low cost V2X traffic lights and vehicles communication solution for dynamic routing

With the utilization of GPS and information systems, routing has become a major aspect of the transport sector. Problems like traffic congestion and CO2 pollution can be alleviated by using vehicle routing and vehicular networks. Moreover, the introduction of Internet of Things devices that provide vehicle-to-vehicle and vehicle-to-infrastructure solutions, has made vehicular communications to reach a new level, and therefore vehicle routing has become more feasible. In this paper, we design and build a low cost system with the purpose of performing optimal routing. The system consists of two vehicle-to-everything (V2X) wireless devices and a central server. Both of the devices and the server cooperate to create an Internet of Vehicles (IoV) network which gathers data according to the real time traffic conditions. With the data gathered by the system, the optimal routing is achieved by implementing a backpressure algorithm; thus, we need to extract a metric called backpressure weight from the collected data. The vehicle detection and counting is the key to that metric and based on the literature and by conducting experiments, we find the appropriate vehicle detection method that suits our low cost system. Finally, by obtaining air quality data, we can find the impact of optimal routing to pollution.