Adaptive Beaconing for Collision Avoidance and Tracking Accuracy in Vehicular Networks In vehicular networks, exchanging beacons among neighboring vehicles is a promising solution to guarantee vehicle safety. However, frequent beaconing under high vehicle density will cause collisions, which is harmful to safety and tracking accuracy. In this work, we propose an adaptive beaconing method for vehicle safety and tracking accuracy. Each vehicle broadcasts beacon interval requests, including the intervals needed for safety and for tracking accuracy. The road side unit allocates resources for vehicleu0027s beaconing according to the requests from all vehicles. We formulate the resource allocation problem for maximizing the sum utility which measures the satisfaction of vehicles. We transform the optimization problem into a maximum weighted independent set problem, and propose an algorithm to solve it efficiently. Simulation results show that the proposed method outperforms the benchmark in terms of beacon reception ratio, safety guarantee, and tracking accuracy.

On the Reliability of VANET Safety Applications for Bicycles In the context of connected vehicles, the focus of safety applications has mainly been on accident avoidance of motor vehicles, and little attention has been given to bicycle safety. This research presents a bicycle safety application for connected vehicles. The safety application aims to reduce the socalled right hook conflict, a common accident scenario where a rightturning vehicle causes a crash with an adjacent bicycle. The information exchanged during normal beacon messages of vehicles is used by the application to alert drivers of potential collisions with bicycles, without introducing addition message overhead or deviating from current standards. The proposed safety application was implemented using commercial equipment, installed in the vehicle and bicycle, and the effectiveness was evaluated based on realworld field experiments.