Railsight: a user-friendly data visualization platform for UK rail transport

Manzhi Ruan; Shawki Al-Dubaee

doi:10.1117/12.3012407

21 December 2023 Railsight: a user-friendly data visualization platform for UK rail transport

Manzhi Ruan, Shawki Al-Dubaee

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129702P (2023) https://doi.org/10.1117/12.3012407
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

This paper presents Railsight, a data visualization and analytics platform for the UK rail industry. The platform is divided into several components, with a back-end webserver facilitated by the Django framework, a flexible front-end web interface developed using React and Echarts (for data visualization), and a database powered on MySQL. Railsight users have the freedom to select from different data sources and visualize them according to their personal preferences, explore specific data slices, choose from different visualization modules, export the data and dynamically adjust the time-series, and to record and view the history of the tables. These features could facilitate a deep understanding of the modern rail system in the UK and in turn improve its operational efficiency, passenger satisfaction, and sustainability.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Manzhi Ruan and Shawki Al-Dubaee "Railsight: a user-friendly data visualization platform for UK rail transport", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129702P (21 December 2023); https://doi.org/10.1117/12.3012407

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