Aggregate location recommendation in dynamic transportation networks
文献类型:期刊论文
作者 | Li, Jianmin1; Wang, Yan1; Zhong, Ying1; Guo, Danhuai2,3,4; Zhu, Shunzhi1 |
刊名 | World wide web-internet and web information systems
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出版日期 | 2018-11-01 |
卷号 | 21期号:6页码:1637-1653 |
关键词 | Location recommendation Travel planning Dynamic transportation networks Spatio-temporal databases |
ISSN号 | 1386-145X |
DOI | 10.1007/s11280-017-0496-3 |
通讯作者 | Zhu, shunzhi(szzhu@xmut.edu.cn) |
英文摘要 | 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 o o that has the minimum global travel time 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. |
WOS关键词 | NEAREST-NEIGHBOR QUERIES ; AWARE SPATIAL NETWORKS ; GATHERING PATTERNS ; TRAJECTORIES ; DISCOVERY ; SPARSE |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Information Systems ; Computer Science, Software Engineering |
语种 | 英语 |
WOS记录号 | WOS:000449485200012 |
出版者 | SPRINGER |
URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374272 |
专题 | 计算机网络信息中心 |
通讯作者 | Zhu, Shunzhi |
作者单位 | 1.Xiamen Univ Technol, Sch Comp & Informat Engn, Xiamen, Peoples R China 2.Shenzhen Univ, Guangdong Prov Key Lab Popular High Performance C, 3688 Nanhai Ave, Shenzhen 518060, Guangdong, Peoples R China 3.Shenzhen Univ, Guangdong Prov Big Data Collaborat Innovat Ctr, 3688 Nanhai Ave, Shenzhen 518060, Guangdong, Peoples R China 4.Chinese Acad Sci, CNIC, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Jianmin,Wang, Yan,Zhong, Ying,et al. Aggregate location recommendation in dynamic transportation networks[J]. World wide web-internet and web information systems,2018,21(6):1637-1653. |
APA | Li, Jianmin,Wang, Yan,Zhong, Ying,Guo, Danhuai,&Zhu, Shunzhi.(2018).Aggregate location recommendation in dynamic transportation networks.World wide web-internet and web information systems,21(6),1637-1653. |
MLA | Li, Jianmin,et al."Aggregate location recommendation in dynamic transportation networks".World wide web-internet and web information systems 21.6(2018):1637-1653. |
入库方式: iSwitch采集
来源:计算机网络信息中心
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