Driver curve speed model and its application to ACC speed control in curved roads
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A speed control algorithm for an ACC (Adaptive Cruise Control) system for curved roads is proposed based on driver behavior characteristics. As the foundation of this research, a driver speed model for curved roads is developed using a series of experimental data regarding driver behavior. To adapt the model to each driver’s individual curve speed behavior, the coefficients of the model are identified in real time from the data sequences collected during drivers’ manual operation stage by a self-learning algorithm based on a Recursive Least-Square (RLS) method with a forgetting factor. Using this algorithm, the parameters of the driver model can be identified from the data collected in the manual operation phase, and the identification results are applied during the ACC automatic control phase. Based on the developed model, the ACC speed control algorithm is modified to provide each individual driver with a customized speed profile for the scenario of a curved road with no car ahead. Tests verify the applicability of the modified system.
Key WordsAdaptive cruise control Driver behaviour Curved road Speed control
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- Abdelwahab, W. M., Aboul-Ela, M. T. and Morrall, J. F. (1998). Geometric design consistency based on speed change on horizontal curves. Road Transport Research 127,1, 13–23.Google Scholar
- Felipe, E. and Navin, F. (1998). Canadian researchers test driver response to horizontal curves. Road Management & Engineering J. TranSafety, Inc., 1.Google Scholar
- Jurgen, R. K. (2006). Adaptive Cruise Control. SAE Book. 9.Google Scholar
- Matsumoto, S., Tange, S., Suzuki, T. and Yoshizawa, H. (2005). Adaptive Cruise Control System for Automotive Vehicle. US Patent, No. 2005/0240334.Google Scholar
- Newmark, Z. (2009). Nissan announces new navigation system with advanced technology. July 22: www.worldcarfans.com/109072220605/nissan-announces-newnavigation-system-with-advanced-technology.Google Scholar
- Xiao, J. and Gao, L. (2007). Research on relation of horizontal curve radius and safety perception. Control Engineering of China, 14,S0, 30–32, 59.Google Scholar
- Yazdi, H. S., Yazdi, M. S. and Mohammadi, M. R. (2009). A novel forgetting factor recursive least square algorithm applied to the human motion analysis. Int. J. Applied Mathematics and Computer Sciences, 2, 128–135.Google Scholar
- Zhang, L. (2009). A Vehicle Longitudinal Driving Assistance System Based on Self-learning Method of Driver Characteristics. Ph. D. Dissertation. Tsinghua University. Beijing.Google Scholar
- Zheng, K., Jiang, L., Rong, J. and Ren, F. (2004). Study on mental and physiological effects of horizontal radius of expressway on driving reaction. J. Highway and Transportation Research and Development 21,5, 5–7.Google Scholar