JSSM  Vol.5 No.3 , September 2012
Efficient Routing of Emergency Vehicles under Uncertain Urban Traffic Conditions
Author(s) Amir Elalouf*
Emergency-vehicle drivers who aim to reach their destinations through the fastest possible routes cannot rely solely on expected average travel times. Instead, the drivers should combine this travel-time information with the characteristics of data variation and then select the best or optimal route. The problem can be formulated on a graph in which the origin point and destination point are given. To each arc in the graph a random variable is assigned, characterized by the expected time to traverse the arc and the variance of that time. The problem is then to minimize the total origin-destination expected time, subject to the constraint that the variance of the travel time does not exceed a given threshold. This paper proposes an exact pseudo-polynomial algorithm and an ε-approximation algorithm (so-called FPTAS) for this problem. The model and algorithms were tested using real-life data of travel times under uncertain urban traffic conditions and demonstrated favorable computational results.

Cite this paper
A. Elalouf, "Efficient Routing of Emergency Vehicles under Uncertain Urban Traffic Conditions," Journal of Service Science and Management, Vol. 5 No. 3, 2012, pp. 241-248. doi: 10.4236/jssm.2012.53029.
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