The design and implementation of a traffic accident analysis system

Zhang, Haiya, Back, Barbro and Zhou, WanLei 2001, The design and implementation of a traffic accident analysis system, in Engineering of intelligent systems : 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001, Budapest, Hungary, June 4-7, 2001 : proceedings, Springer, Heidelberg, Germany, pp. 476-481.


Title The design and implementation of a traffic accident analysis system
Author(s) Zhang, Haiya
Back, Barbro
Zhou, WanLei
Conference name International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (14th : 2001 : Budapest, Hungary)
Conference location Budapest, Hungary
Conference dates 4-7 Jun. 2001
Title of proceedings Engineering of intelligent systems : 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001, Budapest, Hungary, June 4-7, 2001 : proceedings
Editor(s) Monostori, Laszlo
Vancza, Jozsef
Ali, Moonis
Publication date 2001
Series Lecture notes in computer science ; 2070.
Start page 476
End page 481
Publisher Springer
Place of publication Heidelberg, Germany
Summary We designed and implemented a traffic accident analysis system (TAAS) in the paper. TAAS is the system faced traffic accident analysis, which uses the traffic rules (law) as knowledge sources to judge if the driver is responsible for a traffic accident. TAAS has characteristics of separating knowledge base and inference engine, using production rule and backward chaining. Besides, TAAS used predefined text and tracing program to realize explanation mechanism.

ISBN 3540422196
Language eng
Field of Research 080606 Global Information Systems
Socio Economic Objective 899999 Information and Communication Services not elsewhere classified
HERDC Research category E2 Full written paper - non-refereed / Abstract reviewed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30013631

Document type: Conference Paper
Collection: School of Information Technology
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