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ผลลัพธ์ (อังกฤษ) 1:

A tank crushing ore.

ผลลัพธ์ (อังกฤษ) 2:

Tank Moran

ผลลัพธ์ (อังกฤษ) 3:

Abstract.We address the problem of dynamic ambulance repositioning in which, the goal is to minimize the expected fraction of late. Arrivals. The decisions on how to redeploy the vehicles have to be made in real time and may, take into account the status. Of all other vehicles and accidents. This is generally considered a difficult problem especially in, urban areas and exact,, Solution methods quickly become intractable when the number of vehicles grows. Therefore there is, a need for a scalable. Algorithm that performs well in practice.We propose a polynomial-time heuristic that distinguishes itself by requiring neither assumptions on the region nor extensive. State information. We evaluate its performance in a simulation model of emergency medical services (EMS) operations. We. Compare the performance of our repositioning method to so-called static solutions: a classical scenario in which an idle. Vehicle is always sent to its predefined base location. We show that the heuristic performs better than the optimal static. Solution for a tractable problem instance. Moreover we perform, a realistic urban case study in which we show that the performance. Of our heuristic is a 16.8% relative improvement on a benchmark static solution. The studied problem instances show that. Our algorithm fulfills the need for real-time simple redeployment, policies that significantly outperform static policies.