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 request of 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. On this basis, the countermeasures and decision-making technology of static highway operation safety mangement have been studied by adopting expert system technology and optimization method. For the covering abstract see ITRD E138091. This paper is available from http://www.ictct.org/workshops/07-Beijing/41WANGYan150163.pdf.
Abstract