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arXiv · 1701.00642

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

Dajian Li·Paul Weng·Orkun Karabasoglu
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Abstract

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.

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Dajian Li, Paul Weng, Orkun Karabasoglu. 2017-01-03. Finding Risk-Averse Shortest Path with Time-dependent Stochastic Costs. https://doi.org/10.1007/978-3-319-49397-8_9

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