An Advanced Cooperative Path Prediction Algorithm for Safety Applications in Vehicular Networks

摘要: Vehicular ad hoc networks (VANETs) are in the heart of current and future automotive research. Most vehicular safety applications based on sensors installed vehicle, e.g., radars laserscanners. Due to evolution wireless networks, there is a tendency exploit cooperation among vehicles enhance road through related applications. Path prediction driver's own vehicle other crucial for safety. can assist driver having an enhanced perception environment intention neighboring drivers. In this paper, advanced cooperative path algorithm presented. This gathers position, velocity, acceleration, heading, yaw rate measurements from all connected calculate their paths. addition, map data with regard geometry and, particularly, curvature used algorithm. Comparative results prediction, without communications, discussed. adapted use emergency-electronic-brake-lights application. The adaptation also paper another contribution highlighting advantages at same time, challenges using communications users.