Abstract
Vehicular safety applications, such as cooperative collision warning systems, rely on beaconing to provide situational awareness that is needed to predict and therefore to avoid possible collisions. Beaconing is the continual exchange of vehicle motion-state information, such as position, speed, and heading, which enables each vehicle to track its neighboring vehicles in real time. This work presents a context-aware adaptive beaconing scheme that dynamically adapts the beaconing repetition rate based on an estimated channel load and the danger severity of the interactions among vehicles. The safety, efficiency, and scalability of the new scheme is evaluated by simulating vehicle collisions caused by inattentive drivers under various road traffic densities. Simulation results show that the new scheme is more efficient and scalable, and is able to improve safety better than the existing non-adaptive and adaptive rate schemes.
Highlights
Recent advances in wireless communication technology have resulted in the development of a Cooperative Collision Warning System (CCWS) that can actively prevent accidents, and may improve road safety significantly
The results indicate that the error decreases significantly as the max increases
We presented a new context-aware adaptive beaconing rate scheme to improve the performance of vehicular safety communication
Summary
Recent advances in wireless communication technology have resulted in the development of a Cooperative Collision Warning System (CCWS) that can actively prevent accidents, and may improve road safety significantly. Several concepts and prototypes of the CCWS have been proposed and developed [1,2,3], demonstrating the technical feasibility of the CCWS. The CCWS works by having vehicles to continually exchange safety messages via wireless ad hoc networks. The safety messages, termed as beacon messages, contain up-to-date vehicle state information, such as position, speed, heading, and other kinematics or motion information. The dissemination of beacon messages, termed as beaconing, allows each vehicle to realize and track the existence and the state information of its neighboring vehicles within a certain range. Each vehicle can predict any possible collision and provide early warnings to its driver
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