Safety implications of higher levels of automated vehicles: a scoping review

Transport Reviews - Tập 42 - Trang 245-267 - 2022
Pavlos Tafidis1, Haneen Farah2, Tom Brijs3, Ali Pirdavani1,3
1Faculty of Engineering Technology, UHasselt, Diepenbeek, Belgium
2Faculty of Civil Engineering and Geosciences, Department of Transport and Planning, Delft University of Technology, Delft, The Netherlands
3Transportation Research Institute, UHasselt, Diepenbeek, Belgium

Tài liệu tham khảo

Analytics, C. (2019). EndNote X9. Retrieved from https://endnote.com/ 10.1080/1364557032000119616 Arvin, R., Kamrani, M., Khattak, A. J. & Rios-Torres, J. (2018). Safety impacts of automated vehicles in mixed traffic. Transportation Research Board 97th Annual Meeting Washington, DC, United States. Arvin, R., Khattak, A. J. & Rios-Torres, J. (2019). Evaluating safety with automated vehicles at signalized intersections: Application of adaptive cruise control in mixed traffic. Transportation Research Board 98th Annual Meeting, Washington, DC, United States. 10.5220/0005540501910198 10.1016/j.aap.2019.105406 Casualty Acturial Society. (2014). Restating the national highway transportation safety administration’s national motor vehicle crash. 10.1080/01441647.2018.1524401 10.1016/j.amepre.2018.06.024 10.1016/B978-0-12-817696-2.00001-9 Dean J., 2019, Bmc Public Health, 19, 10.1186/s12889-019-7580-9 Detwiller, M. & Gabler, H. C. (2017). Potential reduction in pedestrian collisions with an autonomous vehicle. 25th International Technical Conference on the Enhanced Safety of Vehicles (ESV), Detroit, Michigan, United States. ETSC (European Transport Safety Council), 2001, Transport safety performance indicators Faggela, D. (2020, March 14). Emerj: The AI research and advisory company. Retrieved May 15, 2020, from https://emerj.com/ai-adoption-timelines/self-driving-car-timeline-themselves-top-11-automakers/ Fagnant, D. & Kockelman, K. (2014). Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations. Transportation Research Board 93rd Annual Meeting, Washington, DC, United States. 10.1016/j.tra.2015.04.003 Farah H., 2020, IEEE Transactions on Intelligent Transportation Systems, 1 10.1007/978-3-319-60934-8_16 10.1080/01441647.2018.1518937 10.1177/0361198120928351 Gasser, T. M. & Westhoff, D. (Producer). (2012). BASt-study: Definitions of automation and legal issues in Germany. Workshop on the Future of Road Vehicle Automation. 10.1016/j.trf.2014.03.003 Granados, M. E., Persaud, B., Rajeswaran, T. & Saleem, T. (2018). Using microsimulation to evaluate the impact of automated vehicles on safety performance of signalized intersections. Transportation Research Board 97th Annual Meeting, Washington, DC, United States. 10.1016/j.biocon.2015.08.018 10.1016/S0925-7535(00)00058-8 Jadaan K., 2018, Journal of Traffic and Logistics Engineering, 1, 10.18178/jtle.6.1.1-5 10.1145/2372251.2372257 Kakimoto Y., 2018, Transportation Research Procedia, 34, 219, 10.1016/j.trpro.2018.11.035 Kalra, N. & Groves, D. G. (2017). RAND model of automated vehicle safety (MAVS): Model documentation. 10.1155/2019/6126408 Kim K., 2021, Computers & Security, 103 10.1080/15389588.2019.1625335 10.17265/2159-5313/2016.09.003 Kühn M., 2020, Automated cars on motorways: Active and passive safety aspects 10.1186/s12544-019-0375-3 10.1016/j.trf.2018.08.010 10.1016/j.aap.2020.105457 10.1097/TA.0000000000000816 Ma C., 2018, Journal of Advanced Transportation, 2018, 1 Mahmud S. M. S., 2019, IATSS Research, 43, 27, 10.1016/j.iatssr.2018.07.002 10.1159/000498908 10.1186/2046-4053-4-1 10.1155/2018/6135183 10.1186/s12874-018-0611-x NHTSA. (2013). Preliminary statement of policy concerning automated vehicles. Olia A., 2016, Journal of Intelligent Transportation Systems, 20, 485, 10.1080/15472450.2016.1228375 Ondruš J., 2020, Transportation Research Procedia, 44, 226, 10.1016/j.trpro.2020.02.049 10.1016/j.trf.2019.05.017 Pendleton S., 2017, Machines, 5, 6, 10.3390/machines5010006 10.1016/j.techfore.2019.02.010 10.1109/SCSP.2017.7973864 10.1002/2327-6924.12380 10.1002/jrsm.1123 10.3141/2124-25 Rau, P., Yanagisawa, M. & Najm, W. G. (2015). Target crash population of automated vehicles. 24th International Technical Conference on the Enhanced Safety of Vehicles (ESV), Gothenburg, Sweden. Reddy N., 2020, IEEE Open Journal of Intelligent Transportation Systems, 1, 237, 10.1109/OJITS.2020.3040889 SAE. (2018). Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles. 10.1016/j.trf.2021.01.010 Schwall, M., Daniel, T., Victor, T., Favaro, F. & Hohnhold, H. (2020). Waymo public road safety performance data. ArXiv abs/2011.00038. 10.1080/15472450.2017.1336053 Singh S., 2015, Critical reasons for crashes investigated in the National Motor Vehicle Crash causation survey 10.1016/j.scs.2020.102457 10.1080/01441647.2018.1523253 10.1080/01441647.2018.1494640 Tafidis P., 2019, Safety, 5, 57, 10.3390/safety5030057 10.1080/00140139.2020.1739326 Tibljas A. D., 2018, Sustainability, 10 10.7326/M18-0850 10.3390/su12083206 10.1016/j.aap.2015.08.007 Vasebi S., 2020, Transportation Research Interdisciplinary Perspectives, 7, 10.1016/j.trip.2020.100194 Wang, L., Fahrenkrog, F., Vogt, T., Jung, O. & Kates, R. (2017). Prospective safety assessment of highly automated driving functions using stochastic traffic simulation. National Highway Traffic Safety Administration. 10.1145/3357000.3366145 10.1177/0361198119847475 10.1109/MVT.2019.2892497 10.1016/j.trpro.2019.09.009 10.3141/2489-14 Zlocki A., 2014, Road Vehicle Automation, 197, 10.1007/978-3-319-05990-7_17