PyRCS: An open-source tool for collecting railway codes used in different UK rail industry systems

Qian Fu

doi:10.5281/zenodo.4026744

PyRCS: An open-source tool for collecting railway codes used in different UK rail industry systems

Qian Fu^*

^*Corresponding author for this work

Research output: Non-textual form › Software

Abstract

PyRCS is an open-source Python package that simplifies the collection and management of railway codes used across different systems in the UK rail industry. It provides a practical toolkit for researchers, practitioners and frequent users of the Railway Codes website who work extensively with railway codes in the UK. By leveraging Python's capabilities, PyRCS enables efficient access, retrieval and manipulation of railway code data, enhancing productivity and effectiveness in working with these codes.

During installation, PyRCS includes a set of pre-packaged data. When users request data from a specific category on the Railway Codes website, PyRCS loads the corresponding pre-packaged data for that category by default. Additionally, it provides functionality for direct access to the latest data from the source website, ensuring users stay up to date. Users can also update the pre-packaged data as needed, keeping their resources synchronized with the latest developments.

With PyRCS, users can leverage Python's power to streamline workflows and enhance productivity when working with railway codes in the UK rail industry.

Original language	English
Publisher	Zenodo
Media of output	Online
DOIs	https://doi.org/10.5281/zenodo.4026744
Publication status	Published - 2020

Keywords

Python
Railway codes
Railway
Bridges
CRS
NLC
TIPLOC
STANOX
Electrification
ELR and Mileage
LOR
Stations
Signal boxes
Tunnels
Viaducts
Depots
Tracks

Access to Document

10.5281/zenodo.4026744Licence: Other (please provide link to licence statement

3 Conference contribution
2 Poster
2 Article
2 Software
More
- 1 Paper

Forecasting Railway Network Resilience under Propagating Uncertainty
Fu, Q., Byun, J.-E., Ivings, S., Punzo, G., Erfani, T., Yevseyeva, I., Nikolopoulos, K. & Easton, J., 1 Apr 2025, (Unpublished).
Research output: Contribution to conference (unpublished) › Poster › peer-review
Development of an Integrated Computing Platform for Measuring, Predicting, and Analyzing the Profile-Specific Fixity of Railway Tracks
Fu, Q., Easton, J. & Burrow, M., Jun 2024, In: Transportation Research Record. 2678, 6, p. 1-13 13 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
150 Downloads (Pure)
The Development of an Integrated Computing Platform for Measuring, Predicting and Analyzing Profile-specific Fixity of Railway Tracks
Fu, Q., Easton, J. & Burrow, M., Jan 2023, (Unpublished).
Research output: Contribution to conference (unpublished) › Poster › peer-review

File
PyDriosm: An open-source tool for downloading, reading and PostgreSQL-based I/O of OpenStreetMap data
Fu, Q., 2020
Research output: Non-textual form › Software

Open Access
PyHelpers: An open-source toolkit for facilitating Python users' data manipulation tasks
Fu, Q., 2020
Research output: Non-textual form › Software

Open Access
A data model for heat-related rail buckling: implications for operations, maintenance and long-term adaptation
Jaroszweski, D., Fu, Q. & Easton, J., 1 Aug 2019, (Accepted/In press) Proceedings of the 12th World Congress on Railway Research. 6 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File
A data model for prediction of weather-related rail incidents: a case-study example of wind-related incidents on the rail network in Great Britain
Fu, Q. & Easton, J., 5 Jan 2018. 12 p.
Research output: Contribution to conference (unpublished) › Paper › peer-review

Forecasting resilience of railway network under propagating uncertainty
Fu, Q. (Principal Investigator) & Mills, S. (Co-Investigator)
SCIENCE & TECHNOLOGY FACILITIES COUNCIL
1/04/24 → 31/12/24
Project: Research Councils
Post-Doctoral Enrichment Award
Styles, I. (Principal Investigator), Chu, M. (Co-Investigator), Chua, W. W. L. (Co-Investigator) & Fu, Q. (Co-Investigator)
Alan Turing Institute
1/03/22 → 31/10/22
Project: Research

CoSeC Fellow
Fu, Q. (Recipient), 1 Oct 2024
Prize: Fellowship awarded competitively
Turing Postdoctoral Enrichment Award
Fu, Q. (Recipient), Mar 2022
Prize: Prize (including medals and awards)

Cite this

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title = "PyRCS: An open-source tool for collecting railway codes used in different UK rail industry systems",

abstract = "PyRCS is an open-source Python package that simplifies the collection and management of railway codes used across different systems in the UK rail industry. It provides a practical toolkit for researchers, practitioners and frequent users of the Railway Codes website who work extensively with railway codes in the UK. By leveraging Python's capabilities, PyRCS enables efficient access, retrieval and manipulation of railway code data, enhancing productivity and effectiveness in working with these codes. During installation, PyRCS includes a set of pre-packaged data. When users request data from a specific category on the Railway Codes website, PyRCS loads the corresponding pre-packaged data for that category by default. Additionally, it provides functionality for direct access to the latest data from the source website, ensuring users stay up to date. Users can also update the pre-packaged data as needed, keeping their resources synchronized with the latest developments. With PyRCS, users can leverage Python's power to streamline workflows and enhance productivity when working with railway codes in the UK rail industry.",

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AB - PyRCS is an open-source Python package that simplifies the collection and management of railway codes used across different systems in the UK rail industry. It provides a practical toolkit for researchers, practitioners and frequent users of the Railway Codes website who work extensively with railway codes in the UK. By leveraging Python's capabilities, PyRCS enables efficient access, retrieval and manipulation of railway code data, enhancing productivity and effectiveness in working with these codes. During installation, PyRCS includes a set of pre-packaged data. When users request data from a specific category on the Railway Codes website, PyRCS loads the corresponding pre-packaged data for that category by default. Additionally, it provides functionality for direct access to the latest data from the source website, ensuring users stay up to date. Users can also update the pre-packaged data as needed, keeping their resources synchronized with the latest developments. With PyRCS, users can leverage Python's power to streamline workflows and enhance productivity when working with railway codes in the UK rail industry.

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KW - Railway codes

KW - Railway

KW - Bridges

KW - CRS

KW - NLC

KW - TIPLOC

KW - STANOX

KW - Electrification

KW - ELR and Mileage

KW - LOR

KW - Stations

KW - Signal boxes

KW - Tunnels

KW - Viaducts

KW - Depots

KW - Tracks

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PyRCS: An open-source tool for collecting railway codes used in different UK rail industry systems

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