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原文传递 KNOWLEDGE ACQUISITION, REPRESENTATION, AND KNOWLEDGE BASE DEVELOPMENT OF INTELLIGENT TRAFFIC EVALUATOR FOR PROMPT INCIDENT DIAGNOSIS.

题名：	KNOWLEDGE ACQUISITION, REPRESENTATION, AND KNOWLEDGE BASE DEVELOPMENT OF INTELLIGENT TRAFFIC EVALUATOR FOR PROMPT INCIDENT DIAGNOSIS.
作者：	Suttayamully-S; Hadipriono-FC; Nemeth-ZA
关键词：	FREEWAYS-; TRAFFIC-CONGESTION; INCIDENTS-; INCIDENT-MANAGEMENT; EXPERT-SYSTEMS; KNOWLEDGE-BASED-SYSTEMS; TRAFFIC-MANAGEMENT; ADVANCED-TRAFFIC-MANAGEMENT-SYSTEMS; INTELLIGENT-VEHICLE-HIGHWAY-SYSTEMS; DEVELOPMENT-
摘要：	Incident-related congestion on freeways costs the United States billions of dollars a year in loss of productivity, property damage, and personal injuries. Congestion on rural freeways is even worse than that on urban freeways because the resources needed for appropriate incident responses are not always nearby and high-tech equipment, such as closed-circuit televisions, is not available to detect and verify the incidents. 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. A relatively inexperienced officer may overreact or, with even more detrimental results, fail to call for sufficient response. Thus, to provide quick and suitable responses, an expert system for incident management (IM) is needed. The INtelligent TRaffic Evaluator for Prompt Incident Diagnosis (INTREPID) is being developed as a knowledge-based IM system to help a dispatcher manage an incident with the proper responses. INTREPID is part of the Advanced Traffic Management Systems, which is a component of the Intelligent Vehicle Highway System. Unlike other systems, users can directly enter key information gathered from eyewitnesses to obtain prompt responses from the proper agencies and request the proper equipment without delay. The development of INTREPID is discussed and includes the following steps: (a) knowledge acquisition, including interviewing and literature searching, (b) knowledge representation, which involves the development of a decision tree, and (c) knowledge base development in a multimedia environment.
总页数：	Transportation Research Record. 1995. (1497) pp101-111 (13 Fig., 5 Ref.)
报告类型：	科技报告