Mining the Semantics of Origin-Destination Flows using Taxi Traces

被引:0
作者
Zhang, Wangsheng [1 ]
Li, Shijian [1 ]
Pan, Gang [1 ]
机构
[1] Zhejiang Univ, Dept Comp Sci, Hangzhou, Zhejiang, Peoples R China
来源
UBICOMP'12: PROCEEDINGS OF THE 2012 ACM INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING | 2012年
关键词
Urban computing; GPS trace; spatiotemporal analysis; LBSN;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Origin-destination(OD) flows reflect both human activity and urban dynamic in a city. However, our understanding about their patterns remains limited. In this paper, we study the GPS traces of taxis in a city with several millions people, China and find that there are significant patterns under the OD flows constructed from taxis' random motion. Our spatiotemporal analysis shows that those patterns have close relationship with the semantics of OD flows, hence we can mine the semantics of OD flows from raw GPS trace data. The approach we proposed offers a novel way to explore the human mobility and location characteristic.
引用
收藏
页码:943 / 949
页数:7
相关论文
共 3 条
  • [1] Inferring Origin-Destination Flows From Population Distribution
    Rong, Can
    Li, Tong
    Feng, Jie
    Li, Yong
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 35 (01) : 603 - 613
  • [2] GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training
    Rong, Can
    Feng, Jie
    Ding, Jingtao
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 35 (10) : 10048 - 10057
  • [3] Mining Factors Affecting Taxi Detour Behavior From GPS Traces at Directional Road Segment Level
    Wu, Zhouhao
    Li, Yaxiang
    Wang, Xin
    Su, Juan
    Yang, Liu
    Nie, Yu
    Wang, Yuanqing
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (07) : 8013 - 8023