Hedging the Risk of Delays in Multimodal Journey Planning

Botea, Adi (IBM Dublin)

AI Magazine 

Traditional multimodal journey planners are deterministic. Intuitively, a more reliable transport network allows reaching the destination in time. Connection points, which are inherent in multimodal trips, make a journey more prone to delays because of potential missed connections. Traditional multimodal journey planners compute deterministic, sequential plans, implicitly assuming that the input data is accurate. However, in real life, a multimodal transport network can feature many types of uncertainty.

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