A method for predicting crash configurations using counterfactual simulations and real-world data

Accident Analysis & Prevention - Tập 150 - Trang 105932 - 2021
Alexandros Leledakis1,2, Magdalena Lindman2, Jonas Östh1,2, Linus Wågström2, Johan Davidsson1, Lotta Jakobsson1,2
1Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
2Volvo Car Corporation, SE-405 31, Gothenburg, Sweden

Tài liệu tham khảo

Alvarez, 2017, Prospective effectiveness assessment of ADAS and active safety systems via virtual simulation: a review of the current practices, Proceedings of the 25th International Technical Conference on the Enhanced Safety of Vehicles (ESV), Paper No 17-0346 Arbelaitz, 2013, An extensive comparative study of cluster validity indices, Pattern Recognit., 46, 243, 10.1016/j.patcog.2012.07.021 Bärgman, 2017, Counterfactual simulations applied to SHRP2 crashes: the effect of driver behavior models on safety benefit estimations of intelligent safety systems, Accid. Anal. Prev., 102, 165, 10.1016/j.aap.2017.03.003 Cicchino, 2017, Effectiveness of forward collision warning and autonomous emergency braking systems in reducing front-to-rear crash rates, Accid. Anal. Prev., 99, 142, 10.1016/j.aap.2016.11.009 Cicchino, 2019, Characteristics of rear-end crashes involving passenger vehicles with automatic emergency braking, Traffic Inj. Prev., 20, 112, 10.1080/15389588.2019.1576172 Costa, 2004, Comparative analysis of clustering methods for gene expression time course data, Genet. Mol. Biol., 27, 623, 10.1590/S1415-47572004000400025 Edwards, 2014, Estimate of potential benefit for Europe of fitting autonomous emergency braking (AEB) systems for pedestrian protection to passenger cars, Traffic Inj. Prev., 15, 172, 10.1080/15389588.2014.931579 Engström, 2018, Great expectations: a predictive processing account of automobile driving, Theor. Issues Ergon. Sci., 19, 156, 10.1080/1463922X.2017.1306148 Howard, 2014 Isaksson-Hellman, 2016, Using insurance claims data to evaluate the collision-avoidance and crash-mitigating effects of collision warning and brake support combined with adaptive cruise control, Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 1173 Isaksson-Hellman, 2016, Evaluation of the crash mitigation effect of low-speed automated emergency braking systems based on insurance claims data, Traffic Inj. Prev., 17, 42, 10.1080/15389588.2016.1186802 Isaksson-Hellman, 2005, How thirty years of focused safety development has influenced injury outcome in volvo cars, 49, 63 Jeppsson, 2018, Real life safety benefits of increasing brake deceleration in car-to-pedestrian accidents: simulation of Vacuum Emergency Braking, Accid. Anal. Prev., 111, 311, 10.1016/j.aap.2017.12.001 Kaufman, 2005 Kitajima, 2019, Multi-agent traffic simulations to estimate the impact of automated technologies on safety, Traffic Inj. Prev., 20, 58, 10.1080/15389588.2019.1625335 Kovaceva, 2020, Safety benefit assessment of autonomous emergency braking and steering systems for the protection of cyclists and pedestrians based on a combination of computer simulation and real-world test results, Accid. Anal. Prev., 136, 10.1016/j.aap.2019.105352 Kusano, 2015, Comparison of expected crash and injury reduction from production forward collision and lane departure warning systems, Traffic Inj. Prev., 16, 109, 10.1080/15389588.2015.1063619 Lindman, 2017, Basic numbers needed to understand the traffic safety effect of automated cars, Proceedings of the International Research Council on the Biomechanics of Injury (IRCOBI) 2017, Paper No IRC-17-10 Lubbe, 2018, Predicted road traffic fatalities in Germany: the potential and limitations of vehicle safety technologies from passive safety to highly automated driving, Proceedings of the International Research Council on the Biomechanics of Injury (IRCOBI) 2018, Paper No IRC-18-11 Östh, 2012, The occupant response to autonomous braking: a modeling approach that accounts for active musculature, Traffic Inj. Prev., 13, 265, 10.1080/15389588.2011.649437 Östling, 2019, Predicted crash configurations for autonomous driving vehicles in mixed German traffic for the evaluation of occupant restraint system, Proceedings of VDI Fahrzeugsicherheit 2019 Conference Östling, 2019, Passenger car safety beyond ADAS: defining remaining accident configurations as future priorities, Proceedings of the 26th International Technical Conference on the Enhanced Safety of Vehicles (ESV), Paper No 19-0091 Rodriguez, 2019, Clustering algorithms: a comparative approach, PLoS One, 14, 10.1371/journal.pone.0210236 Rothoff, 2019 Sander, 2018, The potential of clustering methods to define intersection test scenarios: assessing real-life performance of AEB, Accid. Anal. Prev., 113, 1, 10.1016/j.aap.2018.01.010 Sander, 2018, Market penetration of intersection AEB: characterizing avoided and residual straight crossing path accidents, Accid. Anal. Prev., 115, 178, 10.1016/j.aap.2018.03.025 Wågström, 2019, Integrated safety: establishing Links for a comprehensive virtual tool chain, Proceedings of the 26th International Technical Conference on the Enhanced Safety of Vehicles (ESV), Paper No 19-0177 Wimmer, 2019, Toward harmonizing prospective effectiveness assessment for road safety: comparing tools in standard test case simulations, Traffic Inj. Prev., 10.1080/15389588.2019.1616086 Yue, 2018, Assessment of the safety benefits of vehicles’ advanced driver assistance, connectivity and low level automation systems, Accid. Anal. Prev., 117, 55, 10.1016/j.aap.2018.04.002