[1]
C. Diakaki, M. Papageorgiou, I. Papamichail, and I. Nikolos, Overview and analysis of vehicle automation and communication systems from a motorway traffic management perspective, Transportation Research Part A: Policy and Practice, vol. 75, pp. 147-165, 2015.
[2]
L. Li and F.-Y. Wang, Advanced Motion Control and Sensing for Intelligent Vehicles. New York, NY, USA: Springer, 2007.
[3]
S. Chen, J. Hu, Y. Shi, and L. Zhao, LTE-V: A TD-LTE-based V2X solution for future vehicular network. IEEE Internet of Things Journal, vol. 3, no. 6, pp. 997-1005, 2016.
[4]
S. Chen, J. Hu, Y. Shi, Y. Peng, J. Fang, R. Zhao, and L. Zhao, Vehicle-to-everything (V2X) services supported by LTE-based systems and 5G, IEEE Communications Standards Magazine, vol. 1, no. 2, pp. 70-76, 2017.
[5]
3GPP, Evolved Universal Terrestrial Radio Access (E-UTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); overall description; stage 2 (v14.3.0, Release 14), 3GPP Technical Report 36.300, 2017.
[6]
3GPP, Evolved Universal Terrestrial Radio Access (E-UTRA); physical layer procedures (v14.3.0, Release 14), 3GPP Technical Report 36.213, 2017.
[7]
3GPP, Evolved Universal Terrestrial Radio Access (E-UTRA); physical channels and modulation (v14.3.0, Release 14), 3GPP Technical Report 36.211, 2017.
[8]
3GPP, Evolved Universal Terrestrial Radio Access (E-UTRA); User Equipment (UE) radio transmission and reception (v14.4.0, Release 14), 3GPP Technical Report 36.101, 2017.
[9]
3GPP, Evolved Universal Terrestrial Radio Access (E-UTRA); Medium Access Control (MAC) protocol specification (v14.3.0, Release 14), 3GPP Technical Report 36.321, 2017.
[10]
3GPP, Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Resource Control (RRC); protocol specification (v14.3.0, Release 14), 3GPP Technical Report 36.331, 2017.
[11]
3GPP, Architecture enhancements for V2X services (v14.3.0, Re- lease 14), 3GPP Technical Report 23.285, 2017.
[12]
R. Molina-Masegosa and J. Gozalvez, LTE-V for sidelink 5G V2X vehicular communications: A new 5G technology for short-range vehicle-to-everything communications, IEEE Vehicular Technology Magazine, vol. 12, no. 4, pp. 30-39, 2017.
[13]
X. Yang, J. Liu, F. Zhao, and N. H. Vaidya, A vehicle-to-vehicle communication protocol for cooperative collision warning, in Proc. International Conference on Mobile & Ubiquitous Systems: Networking & Services, Boston, MA, USA, 2004, pp. 22-25.
[14]
S. Shalevshwartz, S. Shammah, and A. Shashua, On a formal model of safe and scalable self-driving cars, arXiv preprint arXiv: 1708.06374v5, 2018.
[15]
N. Roohi, R. Kaur, J. Weimer, O. Sokolsky, and I. Lee, Self-driving vehicle verification towards a benchmark, arXiv preprint arXiv:1806.08810v1, 2018.
[16]
M. Naumann, M. Lauer, and C. Stiller, Generating comfortable, safe and comprehensible trajectories for automated vehicles in mixed traffic, arXiv preprint arXiv: 1805.05374v1, 2018.
[17]
R. Mariani, An overview of autonomous vehicles safety, in Proc. 2018 IEEE International Reliability Physics Symposium (IRPS), Burlingame, CA, USA, 2018, .
[18]
W. van Winsum and A. Heino, Choice of time-headway in car-following and the role of time-to-collision information in braking, Ergonomics, vol. 39, no. 4, pp. 579-592, 1996.
[19]
X. Chen, L. Li, and Y. Zhang, A Markov model for headway/spacing distribution of road traffic, IEEE Transactions on Intelligent Transportation Systems, vol. 11, no. 4, pp. 773-785, 2010.
[20]
L. Li, X. Peng, F. Wang, D. Cao, and L. Li, A situation-aware collision avoidance strategy for car-following, IEEE/CAA Journal of Automatica Sinica, vol. 5, no. 5, pp. 1012-1016, 2018.