Publikation: Frequency Data Compression for Public Transportation Network Algorithms
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Timetable information in public transportation networks exhibit a large degree of redundancy; e.g. consider a bus going from station A to station B at 6:00, 6:15, 6:30, 6:45, 7:00, 7:15, 7:30, . . . , 20:00, the very same data can be provided by a frequency-based representation as ’6:00-20:00, every 15 minutes’ in considerably less space. Nevertheless a common graph model for routing in public transportation networks is the time-expanded representation where for each arrival/departure event a single node is created. We will introduce a frequency-based graph model which allows for a significantly more compact representation of the network, resulting also in a speed-up for station-to-station queries. Moreover we will describe a new variant of Dijkstra’s algorithm, where also the labels are frequency-based. This approach allows for accelerating profile queries in public transportation networks.
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BAST, Hannah, Sabine STORANDT, 2013. Frequency Data Compression for Public Transportation Network Algorithms. The Sixth International Symposium on Combinatorial Search. Leavenworth, WA, USA, 11. Juli 2013 - 13. Juli 2013. In: Proceedings of the Sixth International Symposium on Combinatorial Search. Menlo Park, CA, USA: AAAI Publications, 2013, pp. 205-206BibTex
@inproceedings{Bast2013Frequ-46627, year={2013}, title={Frequency Data Compression for Public Transportation Network Algorithms}, url={https://www.aaai.org/ocs/index.php/SOCS/SOCS13/paper/view/7228}, publisher={AAAI Publications}, address={Menlo Park, CA, USA}, booktitle={Proceedings of the Sixth International Symposium on Combinatorial Search}, pages={205--206}, author={Bast, Hannah and Storandt, Sabine} }
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