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arXiv · 1804.05644

Multimodal Dynamic Journey Planning

Kalliopi Giannakopoulou·Andreas Paraskevopoulos·Christos Zaroliagis
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Abstract

We present multimodal DTM, a new model for multimodal journey planning in public (schedule-based) transport networks. Multimodal DTM constitutes an extension of the dynamic timetable model (DTM), developed originally for unimodal journey planning. Multimodal DTM exhibits a very fast query algorithm, meeting the request for real-time response to best journey queries and an extremely fast update algorithm for updating the timetable information in case of delays. In particular, an experimental study on real-world metropolitan networks demonstrates that our methods compare favorably with other state-of-the-art approaches when public transport along with unrestricted w.r.t. departing time traveling (walking and electric vehicles) is considered.

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Kalliopi Giannakopoulou, Andreas Paraskevopoulos, Christos Zaroliagis. 2018-04-16. Multimodal Dynamic Journey Planning. https://arxiv.org/abs/1804.05644

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