Experimental Analysis of Cluster-Based Multi-Channel Mechanism for Inter-Vehicle Safety Warning Message Transmission

Lei, Ye; Peng, Chong; Zeng, Lingqiu; Han, Qingwen; Liu, Xiaoying; Chen, Dongmei; Du, Chun‐Hui

doi:10.12720/jcm.11.1.33-41

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…Hendricks et al [2] applied the seven-step collision problem analysis method to the rear-end collision and defined and explained the countermeasure action by the front end analysis of the rear-end crash. Based on the artificial immune mechanism, Yi et al [3] put forward an early warning model to identify and determine the trend caused by abnormal vehicle state, which is a theoretical basis for the safe operation and management of highway tunnel group. Huang et al [4] studied and simulated the dynamic response of the human body in the vehicle with rear-end collision and established the nonlinear mathematical model of the human body and restraint system.…”

Section: Introductionmentioning

confidence: 99%

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

Wang¹,

Li²,

Kong³

2020

Preprint

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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 major 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, so as to provide drivers with effective response time and reduce the casualties and property losses caused by a vehicle collision. The experimental results showed that the accuracy rate of the pre-warning reached 80% when the speed was regarded as a variable, and the simulation results showed that the early pre-warning or delayed pre-warning rate was very low, and the timeliness rate reached 89%, which enables drivers to react quickly in the appropriate time and effectively reduces the risk of vehicle rear-end collision.

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Section: Introductionmentioning

confidence: 99%