Analysis of Rear-End Collision Accident of Urban Traffic Based on Safety Pre-warning Algorithm

Sizhuo Wang ； Wei Li ； Chunyu Kong

《International Journal of Network Security》 23卷1期 (2021/01) Pp. 180-185

https://doi.org/10.6633/IJNS.202101_23(1).20

摘要

With the increase of per capita car ownership, traffic accidents frequently occur, in which rear-end collision accounts for 30% to 40% of the total accidents; thus, rear-end collision has become the primary factor of traffic environment deterioration. Therefore, how to improve road traffic safety and reduce the probability of rear-end collision has become a primary social concern. In this study, based on the safety pre-warning algorithm, a vehicle collision model was built, and a vehicle anti-collision warning system was established. The calculation was performed based on the sample data to obtain the prediction value of vehicle collision time under different driving speeds to provide drivers with adequate response time and reduce the casualties and property losses caused by a vehicle collision. The experimental results showed that the pre-warning accuracy rate reached 80% when the speed was regarded as a variable. The simulation results showed that the early pre-warning or delayed pre-warning rate was very low. The timeliness rate reached 89%, enabling drivers to react quickly in the appropriate time and effectively reduces the risk of vehicle rear-end collision.

關鍵字

Early Warning Algorithm ； Rear-End Collision ； Safe Collision Time