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. This paper presented the evaluation index system suitable for port special traffic conditions. On this basis, the port road safety evaluation model based on BP neural network was designed and developed. After the model was applied to the seaside Avenue Road, the conclusion is that the seaside Avenue Road is in unsafe traffic condition. BP neural network safety evaluation model proposes a new way for solving port safety evaluation of the uncertainty and the dynamic complexity and also avoids the difficulties encountered as the establishment of a complex mathematical model to describe the nonlinear relationship.
Traffic Safety Evaluation in the Port Roadway Based on BP Neural Network
Low-carbon City and New-type Urbanization, International Conference on China Low-Carbon City, 2 ; 151-161
2015
11 Seiten
Aufsatz (Konferenz)
Englisch
Traffic Safety Evaluation in the Port Roadway Based on BP Neural Network
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