The Monitoring System on the Security Situation in Service Area Operations of Expressway Based on the Neural Network Expert System

被引:0
|
作者
Rui, Xijie [1 ]
Bai, Hua [2 ]
机构
[1] Changan Univ, Sch Econ & Management, Xian 710064, Shan Xi, Peoples R China
[2] Changan Univ, Sch Polit & Adm, Xian 710064, Peoples R China
来源
关键词
Expressway Service Area; Measure of Security Situation; Monitoring System; Neural Network Expert System (NNES); Network Learning Computation;
D O I
10.4028/www.scientific.net/AMM.97-98.919
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Given the necessity for monitoring security situation in operations of expressway service area, the feasibility of building intelligent monitoring system based on neural network expert system was explored. The study has revealed that: the security situation in service-area operations consists of safety situations of every service subsystem in the area; and the safety situations of every service subsystem were, in turn, determined by the busy degree of every service, the higher level of busyness means the worse security situation in operations. According to this, the variables to measure the states of safety situations in every service subsystem were constructed; Based on these variables, the neural network expert system for evaluating and monitoring the general safety states in service area operations was built; Such a neural network expert system has been successfully trained with the samples and data given by the field experts, which accordingly makes it clear the system is feasible.
引用
收藏
页码:919 / +
页数:2
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