Exploring urban travel patterns using density-based clustering with multi-attributes from large-scaled vehicle trajectories-Reference-Cited by-同舟云学术

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Exploring urban travel patterns using density-based clustering with multi-attributes from large-scaled vehicle trajectories

Published:2021-01 Issue: Volume:561 Page:125301
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:

Tang Jinjun,Bi Wei,Liu Fang,Zhang Wenhui

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Innovation-Driven Project of Central South University

Foundation of Central South University

Postdoctoral Science Foundation of China

Science and Innovation Foundation of the Transportation Department in Hunan Province

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference40 articles.

1. From mobile phone data to the spatial structure of cities;Louail;Sci. Rep.,2014

2. Modeling real-time human mobility based on mobile phone and transportation data fusion;Huang;Transp. Res. C,2018

3. Taxi trips distribution modeling based on entropy-maximizing theory: a case study in Harbin city - China;Tang;Physica A,2018

4. Spatial and temporal characterization of travel patterns in a traffic network using vehicle trajectories;Kim;Transp. Res. C,2015

5. Spatio-temporal modeling of destination choice behavior through the Bayesian hierarchical approach;Zhang;Physica A,2018

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