Time-adaptive versus history-adaptive strategies for multicriterion routing in stochastic time-dependent networks

Abstract

We compare two different models for multicriterion routing in stochastic time-dependent networks: the classic "time-adaptive'' route choice and the more flexible "history-adaptive'' route choice. We point out some interesting properties of the sets of efficient solutions ("strategies'') found under the two models. We also suggest possible directions for improving computational techniques.

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