Abstract
In this study, the characteristics of automated emergency brake (AEB) systems in rear-end collision situations and cut-in situations is presented. Accident scenarios to reproduce the collision situations are suggested by data analysis of traffic accident databases. Two test vehicles are selected to compare the performance of the AEB systems. The operation method of the AEB systems differs depending on the automobile manufacturer. In the test cases of rear-end collision, the test vehicle ‘A’ applies braking before 0.91 s before collision, which leads no collision in all test cases. The other test vehicle ‘B’ showed non-severe three collisions out of six test cases in rear-end collision tests. The relative speed of the collisions is less than 18kph, which would make no severe damage on the driver and the vehicle itself. In the case of cut-in collision situations, the test vehicle ‘A’ showed three collisions out of six cut-in experiments. In the one of the collision cases, the maximum relative speed at the collision was 38.5 kph, which can cause severe damage. The test vehicle ‘B’ showed collisions in five cases out of six test cases. The relative speed at the collisions was less than 18 kph, which is the same performance as the rear-end collision cases.
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References
Koopman, P., & Wagner, M. (2017). Autonomous Vehicle Safety: An Interdisciplinary Challenge. IEEE Intelligent Transportation Systems Magazine, 9(1), 90–96.
Cicchino, J. B. (2017). Effectiveness of Forward Collision Warning and Autonomous Emergency Braking Systems in Reducing Front-to-Rear Crash Rates. Accident Analysis & Prevention, 99, 142–152.
Hamid, U. Z. A., Zakuan, F. R. A., Zulkepli, K. A., Azmi, M. Z., Zamzuri, H., Rahman, M. A. A., & Zakria, M. A. (2017). Autonomous Emergency Braking System with Potential Field Risk Assessment for Frontal Collision Mitigation. Proc. of IEEE Conference on Systems, Process and Control (ICSPC), Malacca, Malaysia. 71–76.
Kim, T., Lee, T., & Yi, K. (2015). Safety Assessment Procedure for Advanced Emergency Braking System. 24th International Technical Conference on the Enhanced Safety of Vehicles, Gothenburg, Sweden, 15–0395.
(2015). Euro NCAP AEB test Protocol. https://www.euroncap.com. Accessed on 10 Jan 2021.
Chen B., & Li, L. Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios. arXiv:2004.06531
Validation Method for Automated Driving. https://wiki.unece.org/pages/viewpage.action?pageId=60361611. Accessed on 10 Jan 2021.
(2009). Assessment of Integrated Vehicle Safety Systems for Improved Vehicle Safety. http://www.assess-project.eu. Accessed on 10 Jan 2021.
Doyle, M., Edwards, A. &, Avery, M. (2015). AEB Real-World Validation Using UK Motor Insurance Claims Data. 24th International Technical Conference on the Enhanced Safety of Vehicles, Gothenburg, Sweden, 15–0058.
Aust, M. L. (2012). Improving the Evaluation Process for Active Safety Functions: Addressing Key Challenges in Functional, Formative Evaluation of Advanced Driver Assistance Systems. Ph.D. Dissertation, Chalmers University of Technology.
Korea New Car Assessment Program. http://www.kncap.org. Accessed on 10 Jan 2021.
Shin, D., Kim, B., Yi, K., Carvalho, A., & Borrelli, F. (2018). Human-Centered Risk Assessment of an Automated Vehicle Using Vehicular Wireless Communication. IEEE Transactions on Intelligent Transportation Systems, 20(2), 667–681.
Ioannou, P. (1998). Development and Experimental Evaluation of Autonomous Vehicles For Roadway/Vehicle Cooperative Driving. California PATH Research Report, UCB-ITS-PRR-98–9.
Park, Y., Lee, S., Park, M., Shin, J., & Jeong, J. (2019). Target Robot for Active Safety Evaluation of ADAS Vehicles. Journal of Mechanical Science and Technology, 33(9), 4431–4438.
National Highway Traffic Safety Administration/NASS CDS. https://www.nhtsa.gov/research-data/national-automotive-sampling-system-nass. Accessed on 10 Jan 2021.
Salvucci, D. D., & Liu, A. (2002). The Time Course of a Lane Change: Driver Control and Eye-Movement Behavior. Transportation Research Part F: Traffic Psychology and Behavior, 5(2), 123–132.
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This research was supported by a grant (code 20PQOW-B152473-02) under an R&D Program funded by Ministry of Land, Infrastructure and Transport of the Korean government.
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Park, M., Lee, J., Choi, I. et al. Performance of AEB Vehicles in Rear-End and Cut-In Collisions. Int. J. Precis. Eng. Manuf. 23, 911–920 (2022). https://doi.org/10.1007/s12541-022-00646-x
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DOI: https://doi.org/10.1007/s12541-022-00646-x