2007Unpublished venueRequires access

Study on the Core Technology of the Static Highway Operation Safety Management System

Yan Wang, Z. Guo, L Kong

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Abstract

On the basis of numerous research works on road traffic safety and relevant management theories, the objective and function of the static highway operation safety management system were analyzed and the core technologies of the system were studied, including the highway operation safety evaluation, prediction and decision-making technologies. According to the requestof static highway operation safety management, considering both pre-accident and post-accident evaluation, the highway operation safety evaluation index system has been established by analyzing the intrinsic relation among accident data, traffic flow characteristics, highway facility characteristics and highway operation safety conditions. Due to the fuzzy character of road safety problem and the limitation of the classic set theory, the fuzzy logic theory was applied to study the highway operation safety evaluation method, combined with advanced data mining and data fusion technologies. Road traffic system has the typical non-linear characteristic for the interaction among inner and outer factors. Thus the highway operation safety prediction model was studied by the application of Markov theory. What's more, the operation safety condition identification method has been put forward based on quantitative safety evaluation and prediction results. Onthis basis, the countermeasures and decision-making technology of static highway operation safety mangement have been studied by adopting expert system technology and optimization method.

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What this paper is about

On the basis of numerous research works on road traffic safety and relevant management theories, the objective and function of the static highway operation safety management system were analyzed and the core technologies of the system were studied, including the highway operation safety evaluation, prediction and decision-making technologies. According to the requestof static highway operation safety management, considering both pre-accident and post-accident evaluation, the highway operation safety evaluation index system has been established by analyzing the intrinsic relation among accident data, traffic flow characteristics, highway facility characteristics and highway operation safety conditions. Due to the fuzzy character of road safety problem and the limitation of the classic set theory, the fuzzy logic theory was applied to study the highway operation safety evaluation method, combined with advanced data mining and data fusion technologies. Road traffic system has the typical non-linear characteristic for the interaction among inner and outer factors. Thus the highway operation safety prediction model was studied by the application of Markov theory. What's more, the operation safety condition identification method has been put forward based on quantitative safety evaluation and prediction results. Onthis basis, the countermeasures and decision-making technology of static highway operation safety mangement have been studied by adopting expert system technology and optimization method.

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Available abstract

On the basis of numerous research works on road traffic safety and relevant management theories, the objective and function of the static highway operation safety management system were analyzed and the core technologies of the system were studied, including the highway operation safety evaluation, prediction and decision-making technologies. According to the requestof static highway operation safety management, considering both pre-accident and post-accident evaluation, the highway operation safety evaluation index system has been established by analyzing the intrinsic relation among accident data, traffic flow characteristics, highway facility characteristics and highway operation safety conditions. Due to the fuzzy character of road safety problem and the limitation of the classic set theory, the fuzzy logic theory was applied to study the highway operation safety evaluation method, combined with advanced data mining and data fusion technologies. Road traffic system has the typical non-linear characteristic for the interaction among inner and outer factors. Thus the highway operation safety prediction model was studied by the application of Markov theory. What's more, the operation safety condition identification method has been put forward based on quantitative safety evaluation and prediction results. Onthis basis, the countermeasures and decision-making technology of static highway operation safety mangement have been studied by adopting expert system technology and optimization method.

Key concepts: Transport engineering, Fuzzy logic, System safety, Engineering, Identification (biology), Relation (database), Active safety, Risk analysis (engineering)

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