Stochastic Deployment of Emergency Vehicles Considering Sequence of Incidents

This research incorporates a realistic and stochastic process into the design of deployment of emergency response vehicles. This study follows an assumption that events are interdependent, because speed reduction and rubbernecking due to an initial incident provoke secondary incidents. The misconception that secondary incidents are not common has resulted in overlooking a look-ahead concept. This study is a pioneer in relaxing the structural assumptions of independency during the assignment of emergency vehicles. When an emergency is detected and a request arrives, an appropriate emergency vehicle is immediately dispatched. The authors provide tools for quantifying impacts based on fundamentals of incident occurrences through identification, prediction, and interpretation of secondary incidents. A proposed online dispatching model minimizes the cost of moving the next emergency unit, while making the response as close to optimal as possible. Using the look-ahead concept, the online model flexibly re-computes the solution, basing future decisions on present requests. The authors introduce various online dispatching strategies with visualization of the algorithms, and provide insights on their differences in behavior and solution quality.

  • Record URL:
  • Summary URL:
  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    National Transportation Center at Maryland

    1124 Glenn Martin Hall
    University of Maryland
    College Park, MD  United States  20742

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Authors:
    • Haghani, Ali
    • Park, Hyoshin (John)
  • Publication Date: 2016-5

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures; Maps; References; Tables;
  • Pagination: 43p

Subject/Index Terms

Filing Info

  • Accession Number: 01666301
  • Record Type: Publication
  • Files: UTC, TRIS, ATRI, USDOT
  • Created Date: Mar 13 2018 10:30AM