A normative optimal strategy in intelligent transit networks

The paper focuses on unreliable dynamic transit service networks, on which, even if predictive info is available, trip planners should give dynamic strategy-based path suggestions, rather than provide a complete path up to destination. In the paper, the search for a travel strategy to be used as a path recommendation in innovative transit trip planners is analysed as a Markov decision problem, together with the relative solution approaches. Applicative examples of the procedure on a simple test network are then reported. Finally, some concluding remarks are made and future research perspectives outlined.