Abstract

In order to reduce the negative impacts of traffic incidents, incident management scenarios should be formulated and implemented accurately, promptly and effectively. To overcome the shortcomings in conventional manual incident management, a real-time evaluation and decision support system for incident management is proposed in this paper. This system comprises three modules (preprocess module, decision support module and monitoring module) and integrates a series of information analysis and processing technologies such as data fusion, expert systems, data warehousing and data mining. This system is able to help detect traffic incidents, estimate the impacts of these incidents, formulate and select corresponding control and guidance scenarios, and monitor and evaluate scenario implementations.

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