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Erschienen in: World Wide Web 6/2018

06.10.2017

Aggregate location recommendation in dynamic transportation networks

verfasst von: Jianmin Li, Yan Wang, Ying Zhong, Danhuai Guo, Shunzhi Zhu

Erschienen in: World Wide Web | Ausgabe 6/2018

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Abstract

Travel planning and location recommendation are increasingly important in recent years. In this light, we propose and study a novel aggregate location recommendation query (ALRQ) of discovering aggregate locations for multiple travelers and planning the corresponding travel routes in dynamic transportation networks. Assuming the scenario that multiple travelers target the same destination, given a set of travelers’ locations Q, a set of potential aggregate location O, and a departure time t, the ALRQ finds an aggregate location oO that has the minimum global travel time \({\sum }_{q \in Q} T(q,o,t)\), where T(q,o,t) is the travel time between o and q with departure time t. The ALRQ problem is challenging due to three reasons: (1) how to model the dynamic transportation networks practically, and (2) how to compute ALRQ efficiently. We take two types of dynamic transportation networks into account, and we define a pair of upper and lower bounds to prune the search space effectively. Moreover, a heuristic scheduling strategy is adopted to schedule multiple query sources. Finally, we conducted extensive experiments on real and synthetic spatial data to verify the performance of the developed algorithms.

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Metadaten
Titel
Aggregate location recommendation in dynamic transportation networks
verfasst von
Jianmin Li
Yan Wang
Ying Zhong
Danhuai Guo
Shunzhi Zhu
Publikationsdatum
06.10.2017
Verlag
Springer US
Erschienen in
World Wide Web / Ausgabe 6/2018
Print ISSN: 1386-145X
Elektronische ISSN: 1573-1413
DOI
https://doi.org/10.1007/s11280-017-0496-3

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