FISS: function identification of subway stations based on semantics mining and functional clustering-Reference-Cited by-同舟云学术

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FISS: function identification of subway stations based on semantics mining and functional clustering

Published:2018-02-14 Issue:7 Volume:12 Page:558-567
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Tang Tao¹,Dong Xin¹,Wang Jinzhong²³,Kong Xiangjie²,Rahim Azizur²,Yu Xuannian²,Li Yulin²

Affiliation:

1. Chengdu College, University of Electronic Science and Technology of ChinaChengduPeople's Republic of China

2. School of Software, Dalian University of TechnologyDalianPeople's Republic of China

3. School of Management and Journalism, Shenyang Sport UniversityShenyangPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2017.0316

Reference28 articles.

1. Vehicular Social Networks: Enabling Smart Mobility

2. Exploring human mobility patterns in urban scenarios: A trajectory data perspective;Xia F.;IEEE Commun. Mag.,2017

3. Urban traffic congestion estimation and prediction based on floating car trajectory data

4. KongX.SongX.XiaF.et al.: ‘Lotad: long‐term traffic anomaly detection based on crowdsourced bus trajectory data’.World Wide Web 2017 pp.1–23

5. Time-Location-Relationship Combined Service Recommendation Based on Taxi Trajectory Data

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