Data Analysis to study Sub-threshold Delays incurred by Tyne and Wear Metro Trains

Daniel Screen, James Parkinson, Christopher Shilton, Aleksandrs Rjabovs, Marin Marinov*

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

The Tyne & Wear Metro system measures performance on a headway basis, with gaps in service of four or more minutes higher than scheduled being investigated and allocated to causes. The system has a number of infrastructure constraints including single line sections, junctions and level crossings, all of which have to be taken account of when constructing the timetable in order to avoid trains being held by the signalling system, causing delays. The objective of this paper is to analyse delays less than four minutes, which are not investigated or attributed, known as sub-threshold delays. The purpose of the analysis is to identify regularly occurring issues which are due to the timetable, in order to recommend changes. Two different datasets were used. The first dataset explored specific trains, areas and times of days where delays were highest. The second dataset allowed drilling down on each of those in more detail by studying station departure times for each train. The paper proposes a number of options to resolve the issues identified during the analysis. Whilst the results are specific to the Tyne & Wear Metro system, the methodology is suitable for use by other urban rail systems. The study identified several areas of future work including resolving data recording issues, carrying out further investigation of trains at peak times in particular scenarios, and automating the analysis through use of other software.
Original languageEnglish
JournalUrban Rail Transit
Publication statusAccepted/In press - 3 Jan 2020

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train
data analysis
metro system
Wear of materials
Data recording
Rails
Drilling
time of day
drilling
infrastructure
recording
software
methodology
scenario
cause
analysis
performance
time

Keywords

  • urban rail transit, punctuality, performance analysis, metro, metro trains, delays, timetables

Cite this

Screen, D., Parkinson, J., Shilton, C., Rjabovs, A., & Marinov, M. (Accepted/In press). Data Analysis to study Sub-threshold Delays incurred by Tyne and Wear Metro Trains. Urban Rail Transit.
Screen, Daniel ; Parkinson, James ; Shilton, Christopher ; Rjabovs, Aleksandrs ; Marinov, Marin. / Data Analysis to study Sub-threshold Delays incurred by Tyne and Wear Metro Trains. In: Urban Rail Transit. 2020.
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Screen, D, Parkinson, J, Shilton, C, Rjabovs, A & Marinov, M 2020, 'Data Analysis to study Sub-threshold Delays incurred by Tyne and Wear Metro Trains', Urban Rail Transit.

Data Analysis to study Sub-threshold Delays incurred by Tyne and Wear Metro Trains. / Screen, Daniel; Parkinson, James; Shilton, Christopher; Rjabovs, Aleksandrs ; Marinov, Marin.

In: Urban Rail Transit, 03.01.2020.

Research output: Contribution to journalArticle

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T1 - Data Analysis to study Sub-threshold Delays incurred by Tyne and Wear Metro Trains

AU - Screen, Daniel

AU - Parkinson, James

AU - Shilton, Christopher

AU - Rjabovs, Aleksandrs

AU - Marinov, Marin

PY - 2020/1/3

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AB - The Tyne & Wear Metro system measures performance on a headway basis, with gaps in service of four or more minutes higher than scheduled being investigated and allocated to causes. The system has a number of infrastructure constraints including single line sections, junctions and level crossings, all of which have to be taken account of when constructing the timetable in order to avoid trains being held by the signalling system, causing delays. The objective of this paper is to analyse delays less than four minutes, which are not investigated or attributed, known as sub-threshold delays. The purpose of the analysis is to identify regularly occurring issues which are due to the timetable, in order to recommend changes. Two different datasets were used. The first dataset explored specific trains, areas and times of days where delays were highest. The second dataset allowed drilling down on each of those in more detail by studying station departure times for each train. The paper proposes a number of options to resolve the issues identified during the analysis. Whilst the results are specific to the Tyne & Wear Metro system, the methodology is suitable for use by other urban rail systems. The study identified several areas of future work including resolving data recording issues, carrying out further investigation of trains at peak times in particular scenarios, and automating the analysis through use of other software.

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Screen D, Parkinson J, Shilton C, Rjabovs A, Marinov M. Data Analysis to study Sub-threshold Delays incurred by Tyne and Wear Metro Trains. Urban Rail Transit. 2020 Jan 3.