Intelligent Decision Support System for Traffic Incident Management

In China, people have been paying more and more attention to incident response since the outbreak of SARS in the spring of 2003. Traffic incident impacts the normal operation of traffic system, even results in paralysis of partial functions of one city. Researches have shown that automated real-time intelligent decision support system can reduce the work intensity of operators in Traffic Operations Center (TOC). This paper introduces the Intelligent Decision Support System (IDSS) for traffic incident operators in Beijing. The prototype system and its main modules are presented. It identifies and verifies incidents that occur on the road network, then regenerate incident response strategies and render advice on what action should be taken. Preliminary applications in fire incident show it is effective to save time and avoid confusion.