Analysis of Driver Emergency Steering Lane Changing Behavior Based on Naturalistic Driving Data
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    Abstract:

    The general characteristics of driver emergency steering lane change behaviors based on the China naturalistic driving data were proposed in this paper. The emergency steering characteristic was analyzed respectively in collision avoidance, lateral movement and steering stabilization phases, focusing on the steering duration time, the relationship between steering wheel rate and steering wheel deflection. The steering behaviors in three phases were described by using the steering primitive fitting by Gaussian function. The research results show that the steering primitive represents the general characteristics of driver steering behaviors. A linear relationship was found between the maximum steering wheel rate and the steering wheel deflection, and the steering time for a single steering primitive is constant. The driver emergency steering behaviors follow the characteristics of the reaching behavior. The driving emergency steering lane change is composed of steering primitives, while the single steering primitive is an opencontrol model, which indicates that the steering angle is predetermined using the maximum steering wheel rate.

    Reference
    [1] Eckert A, Hartmann B, Sevenich M, et al. Emergency steer & brake assist: a systematic approach for system integration of two complementary driver assistance systems. Proc 22nd Int Technical Conf Enhanced Safety of Vehicles, Washington DC, USA; 2011.
    [2] Bevan G, Gollee H, O'Reilly J. Trajectory generation for road vehicle obstacle avoidance using convex optimization. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 2010, 224(4):455-73.
    [3] Hattori Y, Ono E, Hosoe S. Optimum vehicle trajectory control for obstacle avoidance problem. Mechatronics, IEEE/ASME Transactions on. 2006, 11(5):507-12.
    [4] M?rtensson J, Nybacka M, Jerrelind J, et al. Evaluation of safety distance in vehicle platoons by combined braking and steering. 11th International Symposium on Advanced Vehicle Control, Sept 9-12, 2012, Seoul, Korea; 2012: Japan Society of Mechanical Engineers (JSAE).
    [5] Fausten M. Accident avoidance by evasive manoevres[C]//Proceedings of the 4th Tagung Sicherheit durch Fahrerassistenz (TVSD), Munich, Germany, 2010.
    [6] Lee T, Kim B, Yi K, et al. Development of lane change driver model for closed-loop simulation of the active safety system[C]// Conference Record - IEEE Conference on Intelligent Transportation Systems. 2011:56-61.
    [7] Examination of lane change crashes and potential IVHS countermeasures [M]. National Highway Traffic Safety Administration, 1994.
    [8] Nelson W. Continuous-curvature paths for autonomous vehicles[C]// Robotics and Automation, 1989. Proceedings. 1989 IEEE International Conference on. IEEE, 1989:1260-1264 vol.3.
    [9] Papadimitriou I, Tomizuka M. Fast lane changing computations using polynomials[C]// Proceedings of the American Control Conference. 2003:48-53 vol.1.
    [10] Bascu?ana J L. ANALYSIS OF LANE CHANGE CRASH AVOIDANCE [J]. Systems & Issues in Its, 1995.
    [11] Salvucci D D, Liu A. The time course of a lane change: Driver control and eye-movement behavior [J]. Transportation Research Part F Traffic Psychology & Behaviour, 2002, 5(2):123–132.
    [12] O. Benderius and G. Markkula. Evidence for a fundamental property of steering[C]. Proceedings of the the Human Factors and Ergonomics Society Annual Meeting. Vol. 58.Chicago, IL, Oct. 2014, pp. 884-888.
    [13] O. Benderius, G. Markkula, K. Wol, and M. Wahde.Driver behaviour in unexpected critical events and in repeated exposures - a comparison". European Transport Research Review 6 (2014), pp. 51-60.
    [14] O. Benderius.Modelling driver steering and neuromuscular behaviour. PhD thesis. Chalmers University of Technology, 2014.
    [15] Morasso, P. (1981). Spatial control of arm movements. Experimental Brain Research, 42(2), 223–227.
    [16] Flash, T., & Hochner, B. (2005). Motor primitives in vertebrates and invertebrates. Current opinion in neurobiology, 15(6), 660–666.
    [17] Hong T, Kwon J, Park K, et al. Development of a driver's intention determining algorithm for a steering system based collision avoidance system [R]. SAE Tech Paper, 2013.
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WU Bin, ZHU Xichan, SHEN Jianping, LI Lin. Analysis of Driver Emergency Steering Lane Changing Behavior Based on Naturalistic Driving Data[J].同济大学学报(自然科学版),2017,45(04):0554~0561

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History
  • Received:May 26,2016
  • Revised:January 23,2017
  • Adopted:December 20,2016
  • Online: April 28,2017
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