Somprasong, Suttayamully

Suranaree University of Technology Intellectual Repository

4KNOWLEDGE ACQUISITION, REPRESENTATION AND KNOWLEDGE BASEDEVELOPMENT OF INTELLIGENT TRAFFIC EVALUATOR FORPROMPT INCIDENT DIAGNOSISSomprasong SuttayamullySchool of Transportation Engineering, Suranaree University of TechnologyFabian C. Hadipriono and Zoltan A. NemethDepartment of Civil Engineering, the Ohio State University, Columbus, Ohio, USAAbstractIncident–related congestion on freeway costs the United States billions of dollars a year in loss ofproductivity, property damage, and personal injuries. Congestion on rural freeway is even worse than thaton urban freeway because the resources needed for appropriate incident response are not always nearbyand high-tech equipment, such as close-circuit television, is not available to detect and verify the incident.Furthermore, incident responses are based only on the judgment of a patrol officer at the scene.Unfortunately, highly experienced officers may not always be available for managing such a situation. Arelatively inexperienced officer may overreact or, with even more detrimental results, fail to call forsufficient response; an expert system for incident management (IM) is needed. The Intelligent TrafficEvaluator for prompt Incident Diagnosis (INTREPID) is being developed as a knowledge-based IMsystem to help a dispatcher manage an incident with the proper responses. INTREPID is a part of theAdvance Rural Traffic Management System, which is a component of the Intelligent Vehicle HighwaySystem. Unlike other system, users can directly enter key information gathered from eyewitnesses toobtain prompt responses from the proper agencies and request the proper equipment of INTREPID isdiscussed and includes the following step: (a) knowledge acquisition, including interviewing and literaturesearching, (b) knowledge representation, which involves the development of a decision tree, and (c)knowledge base development in a multimedia environment.Published in Journal of Transportation Research Record 1497, TRB, National Research Council,Washington, D.C., January 1995.

Knowledge acquisition, represention and knowledge base development of intelligent traffic evaluator for promp incident diagnosis

http://sutir.sut.ac.th:8080/sutir/bitstream/123456789/1837/1/BIB922_A.pdf

Knowledge acquisition, represention and knowledge base development of intelligent traffic evaluator for promp incident diagnosis

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Suranaree University of Technology Intellectual Repository