@inproceedings { , title = {On discovering optimal trade-offs when introducing new routes in existing multi-modal public transport systems.}, abstract = {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.}, conference = {18th International conference on computer aided systems theory (Eurocast 2022)}, doi = {10.1007/978-3-031-25312-6\_12}, isbn = {9783031253119; 9783031253126}, note = {INFO COMPLETE (Info via contact 16/2/2023 LM) PERMISSION GRANTED (version = AAM; embargo = 12; licence = Pub's own; POLICY = https://www.springernature.com/gp/open-research/policies/book-policies 16/2/2023 LM) DOCUMENT READY (AAM rec'd from contact 16/2/2023 LM) ADDITIONAL INFO - Contact: Ciprian Zavoianu; Kate Han; Lee Christie and John McCall Set Statement (This version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-031-25312-6\_6. Use of this Accepted Version is subject to the publisher's Accepted Manuscript terms of use [https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms].)}, pages = {104-111}, publicationstatus = {Published}, publisher = {Springer}, url = {https://rgu-repository.worktribe.com/output/1888094}, keyword = {Multi-modal public transport, Macro-level mobility simulations, Reachability isochrones, Multi-objective evolutionary algorithms}, year = {2022}, author = {Han, Kate and Christie, Lee A. and Zăvoianu, Alexandru-Ciprian and McCall, John} editor = {Moreno-Díaz, Roberto and Pichler, Franz and Quesada-Arencibia, Alexis} }