Methods for quantitative assessment of passenger flow influence on train dwell time in dense traffic areas-Reference-Cited by-同舟云学术

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Methods for quantitative assessment of passenger flow influence on train dwell time in dense traffic areas

Published:2019-09 Issue: Volume:106 Page:345-359
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Cornet Sélim,Buisson Christine^ORCID,Ramond François,Bouvarel Paul,Rodriguez Joaquin

Funder

Association Nationale de la Recherche et de la Technologie

Publisher

Elsevier BV

Subject

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

Reference34 articles.

1. An assessment of railway capacity;Abril;Transport. Res. Part E: Logist. Transport. Rev.,2008

2. An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression;Altman;Am. Statist.,1992

3. Development of a dwell time calculation model for timetable planning;Buchmüller,2008

4. Passenger demand;Ceder,2007

5. Graphical Methods for Data Analysis;Chambers,2018

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1. Comprehensive examination of regional railway passenger behavior and dwell time components: Insights from video-based observations in Victoria, Australia;Journal of Rail Transport Planning & Management;2024-09

2. Collaborative rescheduling of train timetables to relieve passenger congestions in an urban rail transit network: A rolling horizon approach;International Journal of Transportation Science and Technology;2024-09

3. A hybrid machine learning approach for train trajectory reconstruction under interruptions considering passenger demand;International Journal of Rail Transportation;2024-04-02

4. Handling uncertainty in train timetable rescheduling: A review of the literature and future research directions;Transportation Research Part E: Logistics and Transportation Review;2024-03

5. Understanding dwell times using automatic passenger count data: A quantile regression approach;Journal of Rail Transport Planning & Management;2024-03

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