Behavioural data mining of transit smart card data: A data fusion approach-Reference-Cited by-同舟云学术

Behavioural data mining of transit smart card data: A data fusion approach

Published:2014-09 Issue: Volume:46 Page:179-191
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Kusakabe Takahiko,Asakura Yasuo

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference31 articles.

1. Agard, B., Morency, C., Trépanier, M., 2006. Mining public transport user behaviour from smart card data. In: 12th IFAC Symposium on Information Control Problems in Manufacturing – INCOM 2006, Saint-Etienne, France, 17–19 May 1996.

2. Tracking survey for individual travel behaviour using mobile communication instruments;Asakura;Transp. Res. Part C: Emerg. Technol.,2004

3. Estimation of behavioural change of railway passengers using smart card data;Asakura;Public Transp.,2012

4. Observing the rhythms of daily life: a six-week travel diary;Axhausen;Transportation,2002

5. Fatigue in long-duration travel diaries;Axhausen;Transportation,2007

Cited by 211 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Developing deep learning models for predicting urban bike-sharing usage patterns;Physica A: Statistical Mechanics and its Applications;2024-10

2. Increasing the precision of public transit user activity location detection from smart card data analysis via spatial–temporal DBSCAN;Data & Knowledge Engineering;2024-09

3. A generative adversarial network algorithm for inferring age attributes in subway based on AFC and POI data;2024-07-10

4. Activity type detection of mobile phone data based on self-training: Application of the teacher–student cycling model;Transportation Research Part C: Emerging Technologies;2024-04

5. A review of travel behavioural pattern using GPS dataset: A systematic literature review;Measurement: Sensors;2024-04