Finding Risk-Averse Shortest Path with Time-dependent Stochastic Costs

01/03/2017

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by   Dajian Li, et al.

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In this paper, we tackle the problem of risk-averse route planning in a transportation network with time-dependent and stochastic costs. To solve this problem, we propose an adaptation of the A* algorithm that accommodates any risk measure or decision criterion that is monotonic with first-order stochastic dominance. We also present a case study of our algorithm on the Manhattan, NYC, transportation network.