Abstract
In order to improve the safety and comfort of the vehicles on rural curved roads, the paper proposed a safe curve speed model based on the BP Neural Network. A series of drivers’ manual operation state data during cornering were gathered and observed according to the driver experiments under real traffic conditions. Three factors, referring to the speed calculated based on road trajectory parameters, the adhesion workload and the yaw rate computed from the processed data, were used as inputs of the model to obtain the target vehicle speed. Finally, tests verify the applicability of the modified model. It indicates that the developed speed model can adjust to the individual curve speed behavior of each driver.
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References
Statistical Yearbook on Road Traffic Accidents of China (2008). Ministry of Transportation of China (2009)
Lee, Y.H., Deng, W.: Speed Control Method for Vehicle Approaching and Travelling on a Curve. US Paten, No.0150157 (2007)
Stamatiadis, N., Gong, H.: Analysis of Inconsistencies Related to Design Speed, Operating Speed and Speed Limits. University of Kentucky College of Engineering (2007)
Pomerleau, D., Jochem, T., Thorpe, C.: Run-off-road Collision Avoidance Using IVHS Countermeasures. National Highway Traffic Safety Administration (1999)
Sledge, N.H., Marshek, K.M.: Formulas for Estimating Vehicle Critical Speed from Yaw Marks. A Review, SAE (1997)
Zhong, X., Ren, F., Rong, J.: The Two-step Model of Operating Speed on Horizontal Curves Based on Driver’s Information Collection and Processing. Transportation Engineering, 307–312 (2004)
Mopu.: Seńalización Vertical. Instrucción Decarreteras. Norma 8.1-IC. Centro de Publicaciones Del Ministerio de Fomento (2000) (in Spanish)
Misaghi, P., Hassan, Y., Asce, M.: Modeling Operating Speed and Speed Differential on Two- Lane Rural Roads. Journal of Transportation Engineering, 408–417 (2005)
Zheng, K., Rong, J., Ren, F.: Analysis of Relation between Curve’s Radius and Steering Speed on Expressway. Journal of Highway and Transportation Research and Development 20(2), 28–30 (2003)
Abdelwahab, W.M., Aboul-Ela, M.T., Morrall, J.F.: Geometric Design Consistency Based on Speed Change on Horizontal Curves. Road Transport Res. 127(1), 13–23 (1998)
Zhang, K., Jiang, L., Rong, J., Ren, F.: Study on Mental and Physiological Effects of Horizontal Radius of Expressway on Driving Reaction. Journal of Highway and Transportation Research and Development 21(5), 5–7 (2004)
Canadian Researchers Test Driver Response to Horizontal Curves. Journal of Road Management and Engineering (1998)
McFadden, J., Elefteriadou, L.: Evaluating Horizontal Alignment Design Consistency of Two-lane Rural Highways: Development of New Procedure. Transportation Research Record, 1737, 9–17. Transportation Research Board, Washington, D.C (2000)
Welch, G., Bishop, G.: An Introduction to the Kalman Filter. Department of Computer Science University of North Carolina at Chapel Hill (2006)
Li, L.: Cooperative Control of Vehicle Stability Based on AFS and DYC, Doctoral Thesis of Tsinghua University (2009)
Wei, L., Yumin, S.: Prediction of Energy Production and Energy Consumption Based on BP Neural Networks. In: Proceedings of the IEEE International Symposium, pp. 176–179. IEEE Press (2008)
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© 2012 IFIP International Federation for Information Processing
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Chen, X., Chi, R., Wang, J., Pang, C., **ao, Q. (2012). Driver Safe Speed Model Based on BP Neural Network for Rural Curved Roads. In: Li, D., Chen, Y. (eds) Computer and Computing Technologies in Agriculture V. CCTA 2011. IFIP Advances in Information and Communication Technology, vol 370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27275-2_10
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DOI: https://doi.org/10.1007/978-3-642-27275-2_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27274-5
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