Multimodal Dynamic Journey Planning | IEEE Conference Publication | IEEE Xplore

Multimodal Dynamic Journey Planning


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 dynam...Show More

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.
Date of Conference: 25-28 June 2018
Date Added to IEEE Xplore: 18 November 2018
ISBN Information:
Print on Demand(PoD) ISSN: 1530-1346
Conference Location: Natal, Brazil

References

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