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Locating Intelligent Sensors on a Transportation Network to Facilitate Emergency Response to Traffic Incidents

In: Applications of Location Analysis

Author

Listed:
  • Tejswaroop Geetla

    (University at Buffalo (SUNY))

  • Rajan Batta

    (University at Buffalo (SUNY))

  • Alan Blatt

    (CUBRC)

  • Marie Flanigan

    (CUBRC)

  • Kevin Majka

    (CUBRC)

Abstract

According to the Federal Highways Administration (FHWA) study presented in Office of Highway Policy Information there are 254 million registered motor vehicles in the U.S. Each year this number continues to grow, increasing utilization of the road transportation network. In 2009 alone there were an estimated 2.2 million injuries related to traffic incidents and 33,808 fatalities from these injuries. In addition, traffic incident related fatalities ranked sixth in the list of preventable fatalities in the U.S.

Suggested Citation

  • Tejswaroop Geetla & Rajan Batta & Alan Blatt & Marie Flanigan & Kevin Majka, 2015. "Locating Intelligent Sensors on a Transportation Network to Facilitate Emergency Response to Traffic Incidents," International Series in Operations Research & Management Science, in: H. A. Eiselt & Vladimir Marianov (ed.), Applications of Location Analysis, edition 1, chapter 8, pages 191-222, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-20282-2_8
    DOI: 10.1007/978-3-319-20282-2_8
    as

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