TY - GEN
T1 - A Rear-end Collision Warning Algorithm based on Vehicular Communication
AU - Cao, Dawei
AU - Qin, Zhiying
AU - Liu, Ruiling
AU - Yang, Yang
AU - Zhong, Dexing
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - With the combination of vehicle information and communication technology, there is a new opportunity to solve the problem of rear-end collision in the field of transportation. Based on 802.11p, vehicles equipped with the WAVE (Wireless access in Vehicular Environment) standard can communicate each other in real time. When an accident occurs, vehicles within range can receive warning information quickly through inter-vehicle communication. The drivers will have enough time to calmly brake to stop and also reduce the risk of secondary collision. In order to prevent secondary collisions, we propose an algorithm that includes vehicle accident identification and rear-end collision warning. If it is calculated that the vehicle will collide, the system will notify the driver to take brake. The algorithm is based on the historical path of the vehicle and is primarily used for curved road conditions. The results show that the algorithm has good performance and the false alarm rate does not exceed 1%.
AB - With the combination of vehicle information and communication technology, there is a new opportunity to solve the problem of rear-end collision in the field of transportation. Based on 802.11p, vehicles equipped with the WAVE (Wireless access in Vehicular Environment) standard can communicate each other in real time. When an accident occurs, vehicles within range can receive warning information quickly through inter-vehicle communication. The drivers will have enough time to calmly brake to stop and also reduce the risk of secondary collision. In order to prevent secondary collisions, we propose an algorithm that includes vehicle accident identification and rear-end collision warning. If it is calculated that the vehicle will collide, the system will notify the driver to take brake. The algorithm is based on the historical path of the vehicle and is primarily used for curved road conditions. The results show that the algorithm has good performance and the false alarm rate does not exceed 1%.
UR - https://www.scopus.com/pages/publications/85076809496
U2 - 10.1109/ITSC.2019.8917505
DO - 10.1109/ITSC.2019.8917505
M3 - 会议稿件
AN - SCOPUS:85076809496
T3 - 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
SP - 3367
EP - 3372
BT - 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
Y2 - 27 October 2019 through 30 October 2019
ER -