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Optimization of AEB Key Parameters in Car to Electric-Two-Wheeler Accidents

DOI: 10.4236/oalib.1104754, PP. 1-10

Subject Areas: Mechanical Engineering

Keywords: Optimization of AEB Key Parameters in Car to Electric-Two-Wheeler Accidents

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Abstract

In order to determine the optimal value of key parameters of automatic emergency braking (AEB) system, an optimization method based on real accident simulation is proposed. Accident reconstruction of 65 car to electric-two-wheeler collision accidents was carried out by using PC-Crash. According to the different parameter values of AEB system radar, the virtual accident reconstruction results are obtained. The optimal value of key AEB parameters was determined by comparing the accident avoidance rate. The results show that: based on these 65 real rear end collisions, the final optimization results of the radar detection angle and detection distance in the AEB system are 90° and 120 m respectively.

Cite this paper

汤, 苏. (2018). Optimization of AEB Key Parameters in Car to Electric-Two-Wheeler Accidents. Open Access Library Journal, 5, e4754. doi: http://dx.doi.org/10.4236/oalib.1104754.

References

[1]  Xu, X., Chen, J.Y. and Da, C. (2014) Analysis of Side Impact Accidents Based on Deep Accident Research. 2014 Seventeenth China International Symposium on Automotive Safety Technology, Baoding, 24-32.
[2]  Liu, M.Z. (2006) Research on Rear End Collision Warning System for Freeway. Wuhan University of Technology, Wuhan.
[3]  Active Test Consortium (2011) Dissemination of Performance Testing Methods for Active Safety Functions in Road Vehicles.
[4]  Kusano, K.D. and Gabler, H.C. (2010) Potential Occupant Injury Reduction in PreCrash System Equipped Vehicles in the Striking Vehicle of Rear-End Crashes. 54th AAAM Annual Conference Annals of Advances in Automotive Medicine, Las Vegas, 189-193.
[5]  Kusano, K.D. and Gabler, H.C. (2012) Safety Benefits of Forward Collision Warning, Brake Assist and Autonomous Braking Systems in Rear-End Collisions. IEEE Transactions on Intelligent Transportation Systems, 13, 1546-1555.
https://doi.org/10.1109/TITS.2012.2191542
[6]  Anderson. R., Doecke, S., Mackenzie, J., et al. (2013) Potential Benefits of Autonomous Emergency Braking Based on In-Depth Crash Reconstruction and Simulation. International Technical Conference on the Enhanced Safety of Vehicles (ESV), Seoul, 36-75.
[7]  Erbsmehl, C. (2009) Simulation of Real Crashes as a Method for Estimating the Potential Benefits of Advanced Safety Technologies. International Technical Conference on the Enhanced Safety of Vehicles (ESV), Stuttgart, 65-73.
[8]  Lindman, M. and Tivesten, E. (2006) Method for Estimating the Benefit of Autonomous Braking Systems Using Traffic Accident Data. SAE World Congress, Detroit.
[9]  Georgi, A., Zimmermann, M., Lich, T., et al. (2009) New Approach of Accident Benefit Analysis for Rear End Collision Avoidance and Mitigation Systems. International Technical Conference on the Enhanced Safety of Vehicles, Stuttgart, 78-95.
[10]  Jiang, L.J. (2014) Research on the Evaluation Method of Automatic Emergency Braking System. Tongji University, Shanghai, 11.
[11]  Dong, X.F. (2013) Research on Accident Avoidance Strategy in Typical Dangerous Conditions. Tongji University, Shanghai.
[12]  Dai, C. (2015) Key Parameters and Utility Evaluation of Pedestrian Collision Avoidance Safety System. Tongji University, Shanghai.

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