Abstract
On the basis of comprehensive analysis of traffic safety evaluation studies abroad, this paper presented the evaluation index system composed of four areas, such as people, traffic flow characteristics, traffic environment, and traffic management, consisting of a total of 15 indexes for special situation and problems in port road traffic safety. Each index has definite index classification criteria, evaluation requirements, and investigation methods. This paper also built evaluation model based on BP neural network and analyzed its calculation method in detail. This method has a guiding role for the management and decision levels of the port road traffic management department.
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References
Chen D (2006) Application of BP neural network in Beijing road safety assessment. China Water Transp 12
Chen J, Li C, Ding G (2008) Traffic safety assessment of freeway based on BP neural network. J Tongji Univ: Nat Sci 36(7):927–931
Hakkert AS, Hocherman I, Mensah A (1996) Levels of safety on interurban roads. Transp Res Rec 1553:95–102
Li C, Wang Z (2010) Design and realization of the assessment system of freeway traffic safety based on bp neural network. J Wuhan Univ Technol: Transp Sci Eng 34(3):476–479
Liu Q, Chen G, Liu X, Zhan J (2010) Research on initialization algorithms of weights and biases of BP neural network. J Southwest China Normal Univ: Nat Sci Ed 35(006):137–141
Pan Y, Zhai C, Zhu S (2005) An evaluation of the road traffic safety based on the grey cluster and neural network. J Chongqing jiaotong Univ 24(2):101–104
Qing L (2002) Road traffic safe grade appraisement and example analysis. Transp Sci Technol 3:44–46
Safety Campaign Annual Seminar (1999) The Roarders
Weimin C, Yi W (1999) Some problems and their methods in comprehensive safety assessment. China Saf Sci J 9(4):75–78
Yang TJ, Zhang XC, Yang XG, Pan HZ (2005) Research on the evaluation of city road traffic safety based on BP artificial network. J China Univ Min Technol 34(1):37–40
Zhang L (1993) Artificial neural network model and its application. J Fudan Univ P13–47
Zhang S (1998) Chinese traffic conflict technique. Southwest Jiaotong University, Chengdu
Zufeng S (2008) Synthesis evaluation on urban traffic safety level. Urban Transp China 2:22–24
Acknowledgments
Supported by the Science and Technology Projects of Tianjin Municipal Highway Administration (NO. 2012-33), Science and Technology Projects of Beijing Municipal Commission of Transport (NO. kj2013-2-32), Beijing Nova program (Grant No. Z141106001814110), Specialized Research Fund for the Doctoral Program of Higher Education (20121103120025), Funding Project for Academic Human Resources Development in Institutions of Higher Learning Under the Jurisdiction of Beijing Municipality, Tianjin Binhai Avenue Construction & Development Co. Ltd and Tianjin Municipal Engineering Design & Research Institute.
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Sun, Ls., Luo, W., Zeng, W., Qiu, Cy., Cui, L. (2015). Traffic Safety Evaluation in the Port Roadway Based on BP Neural Network. In: Feng, S., Huang, W., Wang, J., Wang, M., Zha, J. (eds) Low-carbon City and New-type Urbanization. Environmental Science and Engineering(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45969-0_14
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DOI: https://doi.org/10.1007/978-3-662-45969-0_14
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