Real-Time Databases for Better Cooperative Accident Prevention Systems

Abstract

The huge vehicle frequency can provoke serious accidents leading to critical consequences on human security and destruction of vehicles. Therefore, diverse systems based on Vehicular Ad hoc Networks (VANET) have been suggested to prevent accidents and improve users’ security. Nevertheless, these systems can generate numerous problems since they do not store data in suitable databases, while VANET cannot support the transfer and the reception of all messages. To enhance road security, we propose in this paper a new system, entitled Cooperative Safe Driving System (CoopSafeDrivSyst). On the one hand, CoopSafeDrivSyst relies on Vehicle-To-Vehicle (V2V) and Vehicle-To-Infrastructure (V2I) communications to improve the interaction between vehicles, infrastructures, and the control center. On the other hand, it uses Real-Time DataBases (RT-DB) to handle data in real-time, efficiently, and precisely. It ensures road safety in almost all the dangerous situations that can be acquired on the road. Each vehicle stores its information, along with the nearby vehicles’ information in its local RT-DB, and thus this information is also stored in the control center's RT-DB. Once a vehicle or the control center recognizes a road danger, the vehicle CoopSafeDrivSyst queries its database, triggers the other components to examine the situation, and determines the available operations to avoid collisions. Simulations of diverse driving situations, under the Vehicles In Network Simulation (VEINS) framework, confirm that CoopSafeDrivSyst provides a high level of road management thanks to VANET, the RT-DB, and the notion of Quality of Data used to decrease the number of data freshness transactions.