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.
Original languageEnglish
Number of pages11
Publication statusPublished - 2021 Nov 3
Event9th International Conference on Railway Operations Modelling and Analysis (ICROMA) – RailBeijing - Beijing Jiaotong University, Beijing, China
Duration: 2021 Nov 32021 Nov 7
Conference number: 9


Conference9th International Conference on Railway Operations Modelling and Analysis (ICROMA) – RailBeijing
Abbreviated titleRailBeijing2021
Internet address

Subject classification (UKÄ)

  • Transport Systems and Logistics


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