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Encyclopedia of GIS pp 1–9Cite as

Accident Impact Prediction

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Definition

For the first time, real-time high-fidelity spatiotemporal data on the transportation networks of major cities have become available. This gold mine of data can be utilized to learn about the behavior of traffic congestion at different times and locations, potentially resulting in major savings in time and fuel, the two important commodities of the twenty-first century. According to FASANA Motion report (Report, 2012), approximately 50 % of the freeway congestions are caused by nonrecurring issues, such as traffic accidents, weather hazard, special events, and construction zone closures. Hence, it is fairly important to quantify and predict the impact of traffic incidents on the surrounding traffic. This quantification can alleviate the significant financial and time losses attributed to traffic incidents, for example, it can be used by city transportation agencies for providing evacuation plan to eliminate potential congested grid locks, for effective dispatching of...

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Author information

Authors and Affiliations

  1. Integrated Media Systems Center, University of Southern California, Los Angeles, CA, USA

    Cyrus Shahabi

  2. Microsoft Corp., Redmond, WA, USA

    Bei (Penny) Pan

Authors
  1. Cyrus Shahabi
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  2. Bei (Penny) Pan
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Corresponding author

Correspondence to Cyrus Shahabi .

Editor information

Editors and Affiliations

  1. Minneapolis, Minnesota, USA

    Shashi Shekhar

  2. Rutgers Business School, Newark, New Jersey, USA

    Hui Xiong

  3. The University of Iowa Tippie College of Business, Iowa City, Iowa, USA

    Xun Zhou

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© 2015 Springer International Publishing Switzerland

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Shahabi, C., Pan, B. (2015). Accident Impact Prediction. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-23519-6_1568-1

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  • DOI: https://doi.org/10.1007/978-3-319-23519-6_1568-1

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  • Publisher Name: Springer, Cham

  • Online ISBN: 978-3-319-23519-6

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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