CICAPS: a cooperative intersection collision avoidance persistent system for cooperative intersection ADAS

Dangerous collisions happen at traffic intersections and cause dire effects. So, numerous systems based on Vehicular ad hoc networks (VANET) have been introduced to prevent collisions and enhance users’ safety at intersections. However, these systems may engender several problems since they do not store data in appropriate databases, while VANET cannot currently guarantee the reception of all messages. To improve the safety in the intersections without stop signs and traffic lights, we propose in this paper a new system, entitled cooperative intersection collision avoidance persistent system (CICAPS). This system is based on real-time databases (RTDB), the notion of Quality of Data (QoD) and a hybrid architecture using vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communications. The introduction of RTDB makes CICAPS able to manage real-time data, which are characterized by very rapid evolution and limited temporal validity, and to leverage these data to better control intersection situations. Moreover, it helps CICAPS respect the time constraints of transactions, knowing that late orders are likely to cause accidents. As for the notion of QoD, it allows decreasing the numbers of data updates and exchanged messages, and so the risk of congestion of messages and loss of data. Regarding the hybrid architecture, it allows implementing both a central driving control and a distributed driving control, and so increasing the operational reliability and the failure tolerance. Finally, CICAPS can deal with different forms of intersections and not only four-way perfect-intersections. Simulations of various driving scenarios at urban intersections, under the vehicles in network simulation (VEINS) framework, confirm that CICAPS ensures a robust and efficient intersection management safety.