Web-Based Car Control and Monitoring for Safe Driving of Autonomous Vehicles

Abstract

The future of vehicular transportation will rely on vehicular communication to facilitate a safe, reliable and comfortable driving. The recent research has defined the vehicular communication protocols enabling vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), vehicle-to-pedestrian (V2P) and vehicle-to-everything (V2X) communications. In this paper, we design a web-based car monitoring that enables vehicles in vehicular network to exchange their mobility information to achieve quick road awareness using W3C Vehicle Information Service Specification (VISS) and Vehicle Signal Specification (VSS). This monitoring takes advantage of the vehicle network infrastructure (i.e., Traffic Control Center (TTC)) to control and monitor road mobility thus enhancing the safety of autonomous driving vehicles. We conducted the experimental testing to validate the proposed architecture on the AION R1 robot car. We designed the analysis for accessing R1 robot car’s database via Django server to get the event observed in the road. In the result, V2I communication showed a delay of 0.055 seconds and V2V communication showed an average delay of 0.0015 seconds, giving enough time for distant vehicles to proactively react on it.