Surrogate Measures of Automated Vehicle Safety

Author:

Antonsson Erik K.

Publisher

Springer Nature Switzerland

Reference47 articles.

1. Browne, D.: Automated Driving Systems (ADS) - An introduction to technology and vehicle connectivity - Part 3, Association for the Advancement of Automotive Medicine (AAAM). https://www.aaam.org/automated-driving-systems-ads-introduction-technology-vehicle-connectivity/. Accessed 4 Feb 2023

2. Every, J.L., Barickman, F., Martin, J., Rao, S., Schnelle, S., Weng, B.: A novel method to evaluate the safety of highly automated vehicles. In: 25th International Technical Conference on the Enhanced Safety of Vehicles (ESV) National Highway Traffic Safety Administration, Detroit, Michigan (2017). https://www-esv.nhtsa.dot.gov/Proceedings/25/25ESV-000076.pdf

3. Weng, B., Rao, S.J., Deosthale, E., Schnelle, S., Barickman, F.: Model predictive instantaneous safety metric for evaluation of automated driving systems. In: 2020 IEEE Intelligent Vehicles Symposium (IV), pp. 1899–1906. IEEE (2020). https://ieeexplore.ieee.org/abstract/document/9304635

4. Allen, B.L., Tom, S.B.: Analysis of traffic conflicts and collisions. Transp. Res. Rec. 667, pp. 67–74 (1978). Paper sponsored by Committee on Methodology for Evaluating Highway Improvements, Transportation Research Board, U.S. National Academies of Science, Engineering, Medicine. https://onlinepubs.trb.org/Onlinepubs/trr/1978/667/667-009.pdf

5. Shalev-Shwartz, S., Shammah, S., Shashua, A.: On a formal model of safe and scalable self-driving cars. arXiv preprint arXiv:1708.06374 (2017). https://arxiv.org/pdf/1708.06374.pdf

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