The spatial and temporal variation in passenger service rate and its impact on train dwell time: A time-series clustering approach using dynamic time warping-Reference-Cited by-同舟云学术

The spatial and temporal variation in passenger service rate and its impact on train dwell time: A time-series clustering approach using dynamic time warping

Published:2018-03-09 Issue:10 Volume:12 Page:725-736
ISSN:1556-8318
Container-title:International Journal of Sustainable Transportation
language:en
Short-container-title:International Journal of Sustainable Transportation

Author:

Lee Jinwoo (Brian)¹^ORCID,Yoo Sunhyung²,Kim Hyun³,Chung Younshik⁴^ORCID

Affiliation:

1. Senior Lecturer in Transport Engineering, School of Civil Engineering and Built Environment, Science and Engineering Faculty, Queensland University of Technology (QUT), Brisbane, Queensland, Australia

2. School of Civil Engineering and Built Environment, Science and Engineering Faculty, Queensland University of Technology (QUT), Brisbane, Queensland, Australia

3. Associate Professor, Industry Academic Cooperation Foundation, Korea National University of Transportation, Chungju, Korea

4. Department of Urban Planning and Engineering, Yeungnam University, Gyeongsan, Gyeongsangbuk-do, Korea

Publisher

Informa UK Limited

Subject

Transportation,Automotive Engineering,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15568318.2018.1432731

Reference38 articles.

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2. Warped-average template technique to track on a cycle-by-cycle basis the cardiac filling phases on left ventricular volume

3. Chan, J. (2007). Rail transit OD matrix estimation and journey time reliability metrics using automated fare data (Doctoral dissertation, Massachusetts Institute of Technology).

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