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The Design and Implementation of a Traffic Accident Analysis System

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Engineering of Intelligent Systems (IEA/AIE 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2070))

Abstract

We designed and implemented a traffic accident analysis sys- tem (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.

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References

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Author information

Authors and Affiliations

  1. Turku Centre for Computer Science TUCS Department of Information Systems, Abo Akademi University, Lemminkinengatan 14 B, Fin-20520, Turku, Finland

    Haiyi Zhang & Barbro Back

  2. School of Computing and Mathematics, Deakin University, Rusden, Victoria, 3168, Australia

    WanLei Zhou

Authors
  1. Haiyi Zhang
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  2. Barbro Back
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  3. WanLei Zhou
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Editor information

Editors and Affiliations

  1. Hungarian Academy of Sciences, Intelligent Manufacturing and Business Processes Computer and Automation Research Institute, Kende utca 13-17, 1111, Budapest, Hungary

    László Monostori  & József Váncza  & 

  2. Department of Computer Science 601 University Drive, Southwest Texas State University, San Marcos, TX, 78666-4616, USA

    Moonis Ali

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© 2001 Springer-Verlag Berlin Heidelberg

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Cite this paper

Zhang, H., Back, B., Zhou, W. (2001). The Design and Implementation of a Traffic Accident Analysis System. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_52

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  • DOI: https://doi.org/10.1007/3-540-45517-5_52

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42219-8

  • Online ISBN: 978-3-540-45517-2

  • eBook Packages: Springer Book Archive

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