DocumentCode :
2383855
Title :
Development of the real-time evaluation and decision support system for incident management
Author :
HU, Mingwei ; Tang, Hao ; Lee, Der-homg ; Shi, Qixin
Author_Institution :
Inst. of Transp. Eng., Tsinghua Univ., Beijing, China
Volume :
1
fYear :
2003
fDate :
12-15 Oct. 2003
Firstpage :
426
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.
Keywords :
data mining; data warehouses; decision support systems; digital simulation; expert systems; geographic information systems; information analysis; neural nets; real-time systems; sensor fusion; traffic control; GIS; REDSS; data fusion; data mining; data warehousing; decision support module; digital simulation; expert systems; geographic information systems; incident management; information analysis; monitoring module; neural nets; preprocess module; real-time evaluation and decision support system; traffic incidents; Data mining; Decision support systems; Expert systems; Information analysis; Monitoring; Personnel; Real time systems; Telecommunication traffic; Traffic control; Warehousing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
Print_ISBN :
0-7803-8125-4
Type :
conf
DOI :
10.1109/ITSC.2003.1251990
Filename :
1251990
Link To Document :
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