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

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 97-98)
• Pages: 919-924
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.97-98.919
• Online since: September 2011
• Authors: Xi Jie Rui, Hua Bai
• Keywords: Expressway Service Area, Measure of Security Situation, Monitoring System, Network Learning Computation, Neural Network Expert System (NNES)

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