[1] A.E. Wester, K.B.E. Bocker, E.R. Volkerts, J.C. Verster, J.L. Kenemans, Event-related potentials and secondary task performance during simulated driving, Accident Analysis & Prevention, 40(1) (2008) 1-7.
[2] M. Zhu, H. Chen, G. Xiong, A model predictive speed tracking control approach for autonomous ground vehicles, Mechanical Systems and Signal Processing, 87 (2017) 138-152.
[3] J.B. Receveur, S. Victor, P. Melchior, Autonomous car decision making and trajectory tracking based on genetic algorithms and fractional potential fields, Intel Serv Robotics, 13 (2020) 315–330.
[4] S. Yang, Y. Cao, Z. Peng, G. Wen, K. Guo, Distributed formation control of nonholonomic autonomous vehicle via RBF neural network, Mechanical Systems and Signal Processing, 87 (2017) 81-95.
[5] H. Zhang, G. Zhang, J. Wang, Observer design for LPV systems with uncertain measurements on scheduling variables: application to an electric ground vehicle, IEEE/ASME Transactions on Mechatronics, 21(3) (2016) 1659-1670.
[6]
J.A. Decker,
S.H. Haus,
R. Sherony, Potential benefits of animal-detecting automatic emergency braking systems based on U.S. driving data, Journal of the Transportation Research Board, 2675(10) (2021) 678-688.
[7] IIHS HLDI, Collisions with fixed objects and animals. Insurance Institute for Highway Safety, Fatality Facts, (2019).
[8] M. Fausten, A. Vorentwicklung, accident avoidance by evasive manoeuvres, Chassis Systems Control Robert Bosch GmbH, 2010.
[9] S. Sadeghi Namaghi, M. Moavenian, An adaptive modified fuzzy-sliding mode longitudinal control design and simulation for vehicles equipped with ABS system, International Journal of Automotive Engineering, 9(1) (2019) 2895-2907.
[10] J. Lenarda, A. Badea Romero, R. Danton, Typical pedestrian accident scenarios for the development of autonomous emergency braking test protocols, Accident Analysis and Prevention, 73 (2014) 73–80.
[11] https://www.toyotaofnorthcharlotte.com/blog/so-what-exactly-is-the-moose-test/
[12] J. Nilsson, M. Brannstrom, E. Coelingh, J. Fredriksson, Lane change maneuvers for automated vehicles, IEEE Transactions on Intelligent Transportation Systems, 18(5) (2017) 1087-1096.
[13] H. Guo, D. Cao, H. Chen, Z. Sun, Y. Hu, Model predictive path following control for autonomous cars considering a measurable disturbance: Implementation, testing, and verification, Mechanical Systems and Signal Processing, 118 (2019) 41-60.
[14] S. Samiee, S. Azadi, R. Kazemi, A. Eichberger, B. Rogic, M. Semmer, Performance evaluation of a novel vehicle collision avoidance lane change algorithm, Advanced Microsystems for Automotive Applications 2015, (2016) 103-116.
[15] L. Chen, D. Qin, X. Xu, Y. Cai, J. Xie, A path and velocity planning method for lane changing collision avoidance of intelligent vehicle based on cubic 3-D Bezier curve, Advances in Engineering Software, 132 (2019) 65-73.
[16] Y. Choi, K. Lim, J. Kim, Lane change and path planning of autonomous vehicles using GIS, 12th International Conference on Ubiquitous Robots and Ambient Intelligence, KINTEX, Goyang, Korea, (2015) 163-166.
[17] A. Norouzi,
R. Kazemi,
O.R. Abbassi, Path planning and re-planning of lane change manoeuvres in dynamic traffic environments, Int. J. Vehicle Autonomous Systems, 14(3) (2019) 239-264.
[18] G. Geng, Z. Wu, H. Jiang, L. Sun, C. Duan, Study on path planning method for imitating the lane changing operation of excellent drivers, Applied Sciences, 8(5) (2018) 1-19.
[19] Y. Ding, W. Zhuang, L. Wang, J. Liu, L. Guvenc, Z. Li, Safe and optimal lane-change path planning for automated driving, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 235(4) (2020) 1070-1083.
[20] G. Han, W. Fu, W. Wang, Z. Wu, The lateral tracking control for the intelligent vehicle based on adaptive PID neural network, Sensors, 17(6) (2017)1244.
[21] A. Norouzi, R. Kazemi, S. Azadi, Vehicle lateral control in the presence of uncertainty for lane change maneuver using adaptive sliding mode control with fuzzy boundary layer, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 232(1) (2018) 12-28.
[22] H. Sazgar, S. Azadi,R. Kazemi, Trajectory planning and combined control design for critical high-speed lane change manoeuvres. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 234(2-3) (2020) 823-839.
[23] Y. Zhong, L. Guo, Y. Zhang, Q. Liu, H. Chen, Optimal lane change control of intelligent vehicle based on MPC, IEEE 2019 Chinese Control And Decision Conference (CCDC), (2019) 1468-1473.
[24] J. Wang, H. Zheng, C. Zong, Longitudinal and lateral dynamics control of automatic lane change system, Transactions of the Institute of Measurement and Control, 41(15) (2019) 4322-4338.
[25] H. Sazgar, S. Azadi, R. Kazemi, A. Khalaji. Integrated longitudinal and lateral guidance of vehicles in critical high speed manoeuvres, Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics; 233(4) (2019) 994-1013.
[26] R. Rajamani, Vehicle dynamics and control, 4 ed., Springer, New York, 2012.
[27] Z. Zhang, J. Li, W. Guo, Combined simulation of heavy truck stability under sudden and discontinuous direction change of crosswind with computational fluid dynamics and multi-body system vehicle dynamics software, Advances in Mechanical Engineering, 10(7) (2018) 1–10.
[28] E. Velenis, P. Tsiotras, J. Lu, Optimality properties and driver input parameterization for trail-braking cornering, European Journal of Control, 14(4) (2008) 308-320.
[29] ISO 3888-2:2011, Passenger cars - test track for a severe lane-change manoeuvre - Part 2: Obstacle avoidance, 2016.
https://www.iso.org/standard/57253.html.
[30] www.km77.com.
[32] M.I. Razzak, S. Naz, A. Zaib, Deep learning for medical image processing: overview, challenges and the future,
Classification in BioApps, 26 (2017) 323-350.
[33] H. Lassoued, R. Ketata, S. Yacoub, ECG decision support system based on feedforward neural networks, International Journal on Smart Sensing and Intelligent System, 11(1) (2018) 1-15.
[34] A.N. Sharkawy. Principle of neural network and its main types, Review. Journal of Advances in Applied & Computational Mathematics, Avanti Publishers, 7 (2020) 8-19.
[35] J.F. Bonnefon, A. Shariff, I. Rahwan, The social dilemma of autonomous vehicles. Science 352, (2016) 1573–1576.
[36] Y.E. Bigman, K. Gray, Life and death decisions of autonomous vehicles, J.Nature 579, (2020).
[38]https://www.ted.com/talks/iyad_rahwan_what_moral_decisions_should_driverless_cars_make?language=en#t-310886.