Dr Kate Han k.han@rgu.ac.uk
Research Fellow
Dr Kate Han k.han@rgu.ac.uk
Research Fellow
Dr Lee Christie l.a.christie@rgu.ac.uk
Research Fellow
Dr Ciprian Zavoianu c.zavoianu@rgu.ac.uk
Research Programme Lead
Professor John McCall j.mccall@rgu.ac.uk
Interim Director
Roberto Moreno-Díaz
Editor
Franz Pichler
Editor
Alexis Quesada-Arencibia
Editor
While self-driving technology is still being perfected, public transport authorities are increasingly interested in the ability to model and optimise the benefits of adding connected and autonomous vehicles (CAVs) to existing multi-modal transport systems. We propose a strategy that combines multi-objective evolutionary algorithms with macro-level mobility simulations based on publicly available data (i.e., Open Street Maps data sets and transit timetables) to automatically discover optimal cost-benefit trade-offs of introducing a new CAV-centred PT service to an existing transport system. The insightful results we obtained on a real-life case study aimed at improving the average commuting time in a district of the Leeds Metropolitan Area are very promising and indicative of our strategy’s great potential to support efficient data-driven public transport planning.
HAN, K., CHRISTIE, L.A., ZAVOIANU, A.-C. and MCCALL, J. 2022. On discovering optimal trade-offs when introducing new routes in existing multi-modal public transport systems. In Moreno-Díaz, R., Pichler, F. and Quesada-Arencibia, A. (eds.) Computer aided systems theory: Eurocast 2022; revised selected papers from the 18th International conference on computer aided systems theory (Eurocast 2022), 20-25 February 2022, Las Palmas, Spain. Lecture notes in computer science, 13789. Cham: Springer [online], pages 104-111. Available from: https://doi.org/10.1007/978-3-031-25312-6_12
Conference Name | 18th International conference on computer aided systems theory (Eurocast 2022) |
---|---|
Conference Location | Las Palmas, Spain |
Start Date | Feb 20, 2022 |
End Date | Feb 25, 2022 |
Acceptance Date | Dec 17, 2021 |
Online Publication Date | Feb 10, 2023 |
Publication Date | Dec 31, 2022 |
Deposit Date | Feb 17, 2023 |
Publicly Available Date | Jan 1, 2024 |
Publisher | Springer |
Pages | 104-111 |
Series Title | Lecture notes in computer science (LNCS) |
Series Number | 13789 |
Series ISSN | 0302-9743; 1611-3349 |
Book Title | Computer aided systems theory: Eurocast 2022; revised selected papers from the 18th International conference on computer aided systems theory (Eurocast 2022), 20-25 February 2022, Las Palmas, Spain |
ISBN | 9783031253119; 9783031253126 |
DOI | https://doi.org/10.1007/978-3-031-25312-6_12 |
Keywords | Multi-modal public transport; Macro-level mobility simulations; Reachability isochrones; Multi-objective evolutionary algorithms |
Public URL | https://rgu-repository.worktribe.com/output/1888094 |
This file is under embargo until Jan 1, 2024 due to copyright reasons.
Contact publications@rgu.ac.uk to request a copy for personal use.
Towards explainable metaheuristics: PCA for trajectory mining in evolutionary algorithms.
(2021)
Conference Proceeding
Non-deterministic solvers and explainable AI through trajectory mining.
(2021)
Conference Proceeding
Decentralized combinatorial optimization.
(2020)
Conference Proceeding
Multi-objective evolutionary design of antibiotic treatments.
(2019)
Journal Article
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Advanced Search