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Trip destination prediction based on multi-day GPS data

  • Published:2019-02 Issue: Volume:515 Page:258-269
  • ISSN:0378-4371
  • Container-title:Physica A: Statistical Mechanics and its Applications
  • language:en
  • Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Zong Fang,Tian Yongda,He Yanan,Tang Jinjun,Lv Jianyu

Funder

National Natural Science Foundation of China

Humanity and Social Science Youth foundation of Ministry of Education, China

Jilin science and technology development project, China

Foundation of Central South University, China

Science and Innovation Foundation of the Transportation Department in Hunan Province, China

Postdoctoral Science Foundation of China

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference25 articles.

1. Trip destination prediction based on past GPS log using a Hidden Markov Model;Alvarez-Garcia;Expert Syst. Appl.,2010

2. Using GPS to learn significant locations and predict movement across multiple users;Ashbrook;Pers. Ubiquitous Comput.,2003

3. Magic: a motion gesture design tool;Ashbrook,2010

4. Axis of travel: Modeling non-work destination choice with GPS data;Huang;Transp. Res. C,2015

5. A model of two-destination choice in trip chains with GPS data;Huang;J. Choice Model.,2017

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