Train Passes and Dwell Time Delays
(2021) 9th International Conference on Railway Operations Modelling and Analysis (ICROMA) – RailBeijing- Abstract
- Traffic on railways is increasing and this makes train traffic to be highly interconnected . This paper investigates how passing of train affects dwell time delays in Sweden. Three scenarios are considered by combining the scheduled and actual operations: passes that happened as scheduled, unscheduled passes that happened in operations, and scheduled passes that were cancelled. A logistic regression model is used to explore the effects of these spassing on delays. The results show that train passes rarely occur as scheduled, more frequently they are cancelled or unscheduled. When passes are cancelled, the probability of delay decreases, and when the passes are unscheduled, the delay probability increases. The approach used in this paper... (More)
- Traffic on railways is increasing and this makes train traffic to be highly interconnected . This paper investigates how passing of train affects dwell time delays in Sweden. Three scenarios are considered by combining the scheduled and actual operations: passes that happened as scheduled, unscheduled passes that happened in operations, and scheduled passes that were cancelled. A logistic regression model is used to explore the effects of these spassing on delays. The results show that train passes rarely occur as scheduled, more frequently they are cancelled or unscheduled. When passes are cancelled, the probability of delay decreases, and when the passes are unscheduled, the delay probability increases. The approach used in this paper can be extended to other types of train movement, such as meeting of train , as well as other delay-influencing factors. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/e6de9e4d-24b7-4d3a-9c30-03f7d5bc6da6
- author
- Tiong, Kah Yong LU ; Palmqvist, Carl-William LU ; Olsson, Nils LU and Winslott Hiselius, Lena LU
- organization
- publishing date
- 2021-11-03
- type
- Contribution to conference
- publication status
- published
- subject
- pages
- 11 pages
- conference name
- 9th International Conference on Railway Operations Modelling and Analysis (ICROMA) – RailBeijing
- conference location
- Beijing, China
- conference dates
- 2021-11-03 - 2021-11-07
- project
- Mindre Störningar i Tågtrafiken, del 2
- language
- English
- LU publication?
- yes
- id
- e6de9e4d-24b7-4d3a-9c30-03f7d5bc6da6
- date added to LUP
- 2022-02-28 09:20:41
- date last changed
- 2023-03-28 02:29:45
@misc{e6de9e4d-24b7-4d3a-9c30-03f7d5bc6da6, abstract = {{Traffic on railways is increasing and this makes train traffic to be highly interconnected . This paper investigates how passing of train affects dwell time delays in Sweden. Three scenarios are considered by combining the scheduled and actual operations: passes that happened as scheduled, unscheduled passes that happened in operations, and scheduled passes that were cancelled. A logistic regression model is used to explore the effects of these spassing on delays. The results show that train passes rarely occur as scheduled, more frequently they are cancelled or unscheduled. When passes are cancelled, the probability of delay decreases, and when the passes are unscheduled, the delay probability increases. The approach used in this paper can be extended to other types of train movement, such as meeting of train , as well as other delay-influencing factors.}}, author = {{Tiong, Kah Yong and Palmqvist, Carl-William and Olsson, Nils and Winslott Hiselius, Lena}}, language = {{eng}}, month = {{11}}, title = {{Train Passes and Dwell Time Delays}}, url = {{https://lup.lub.lu.se/search/files/114665069/RailBeijing2021_paper_23.pdf}}, year = {{2021}}, }