scholarly journals Key Parameters Estimation and Adaptive Warning Strategy for Rear-End Collision of Vehicle

2015 ◽  
Vol 2015 ◽  
pp. 1-20 ◽  
Author(s):  
Xiang Song ◽  
Xu Li ◽  
Weigong Zhang

The rear-end collision warning system requires reliable warning decision mechanism to adapt the actual driving situation. To overcome the shortcomings of existing warning methods, an adaptive strategy is proposed to address the practical aspects of the collision warning problem. The proposed strategy is based on the parameter-adaptive and variable-threshold approaches. First, several key parameter estimation algorithms are developed to provide more accurate and reliable information for subsequent warning method. They include a two-stage algorithm which contains a Kalman filter and a Luenberger observer for relative acceleration estimation, a Bayesian theory-based algorithm of estimating the road friction coefficient, and an artificial neural network for estimating the driver’s reaction time. Further, the variable-threshold warning method is designed to achieve the global warning decision. In the method, the safety distance is employed to judge the dangerous state. The calculation method of the safety distance in this paper can be adaptively adjusted according to the different driving conditions of the leading vehicle. Due to the real-time estimation of the key parameters and the adaptive calculation of the warning threshold, the strategy can adapt to various road and driving conditions. Finally, the proposed strategy is evaluated through simulation and field tests. The experimental results validate the feasibility and effectiveness of the proposed strategy.

2013 ◽  
Vol 365-366 ◽  
pp. 407-411
Author(s):  
Jian Hua Wang ◽  
Yun Cheng Wang ◽  
Hai Feng Ding ◽  
Fei Xie

This paper put forward a kind of vehicle anti-collision warning system and put the emphasis on the research of active control. It introduced the function and composition of the system and expounded its working principle. First the safety distance model was studied based on the vehicle kinetic theory. This model contained longitudinal and lateral safety distance model. And the longitudinal safety distance model can be further divided into Safety Critical distance, Lock-in Target distance, Danger Critical distance and Limited Critical distance. Then the dangerous targets were identified and classified based on safety distance model .Finally, according to different targets, the corresponding evasion control strategy and the control flow chart were established.


Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 5044
Author(s):  
Gerd Christian Krizek ◽  
Rene Hausleitner ◽  
Laura Böhme ◽  
Cristina Olaverri-Monreal

Driver disregard for the minimum safety distance increases the probability of rear-end collisions. In order to contribute to active safety on the road, we propose in this work a low-cost Forward Collision Warning system that captures and processes images. Using cameras located in the rear section of a leading vehicle, this system serves the purpose of discouraging tailgating behavior from the vehicle driving behind. We perform in this paper the pertinent field tests to assess system performance, focusing on the calculated distance from the processing of images and the error margins in a straight line, as well as in a curve. Based on the evaluation results, the current version of the Tailigator can be used at speeds up to 50 km per hour without any restrictions. The measurements showed similar characteristics both on the straight line and in the curve. At close distances, between 3 and 5 m, the values deviated from the real value. At average distances, around 10 to 15 m, the Tailigator achieved the best results. From distances higher than 20 m, the deviations increased steadily with the distance. We contribute to the state of the art with an innovative low-cost system to identify tailgating behavior and raise awareness, which works independently of the rear vehicle’s communication capabilities or equipment.


2014 ◽  
Vol 533 ◽  
pp. 375-379
Author(s):  
Feng Ping Cao

In order to improve the effectiveness and practicability of the car anti-collision system, a model of the safety distance between two cars took into account human, vehicle and environment was presented in the paper. Firstly, a general automobile safety distance calculation model based on the braking process was derived, and an algorithm of estimating safe running state on vehicle was presented, which includes the comprehensive factors that influence the vehicle safety travel. Then the general automobile safety distance model was corrected and regulated according to the state of driving safety. At last, the method was verified by the simulation experiments. Experimental results indicate that the algorithm was more consistent with the driver individual characteristic and the actual situation of vehicle and road, and the driver had the most impact.


2013 ◽  
Vol 457-458 ◽  
pp. 1631-1634
Author(s):  
Xiao Qu ◽  
Wei Gang Zheng

This article in view of the situation of highway automobile rear-end collision accident frequency, designed and developed based on the ultrasonic ranging car anti collision warning system, its main purpose is to get the driver more parking time, thereby reducing the occurrence of accident. The design on the basis of the minimum safety distance model, and puts forward the system solution: by ultrasound to measure the distance of the two cars, using this system as the control core, for the analysis of all kinds of information, when driving distance less than the minimum safety distance control will alarm and stop the car.


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