A study of situationally aware routing for emergency responders

Matthew J Henchey, Rajan Batta, Alan Blatt, Marie Flanigan and Kevin Majka
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Matthew J Henchey: 1] Herren Associates, Washington, DC, USA[2] University at Buffalo, State University of New York, Buffalo, USA
Rajan Batta: 1] University at Buffalo, State University of New York, Buffalo, USA[2] Center for Transportation Injury Research, CUBRC, Buffalo, USA
Alan Blatt: Center for Transportation Injury Research, CUBRC, Buffalo, USA
Marie Flanigan: Center for Transportation Injury Research, CUBRC, Buffalo, USA
Kevin Majka: Center for Transportation Injury Research, CUBRC, Buffalo, USA

Journal of the Operational Research Society, 2015, vol. 66, issue 4, 570-578

Abstract: This paper presents tests conducted on routes determined from a Dijkstra-based shortest path problem and a Variance-Constrained Shortest Path problem under varying conditions of traffic and weather in a simulated ‘smart environment’. Utilizing envisioned future advanced transportation systems’ real-time information on traffic parameters allows data fusion techniques to provide situation awareness to its users. Taking advantage of this real-time data, the routing methodologies and data capture techniques studied in this paper provides Emergency Medical Services with better routes when responding to a vehicular crash. Comparing the performance of both routing methodologies in terms of both their ability to provide better routes as well as computation times demonstrates two alternatives for aiding in future emergency response.

Date: 2015
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