Optimising the introduction of connected and autonomous vehicles in a public transport system using macro-level mobility simulations and evolutionary algorithms.

Han, Kate; Christie, Lee A.; Zavoianu, Alexandru-Ciprian; McCall, John

Abstract

The past five years have seen a rapid development of plans and test pilots aimed at introducing connected and autonomous vehicles (CAVs) in public transport systems around the world. Using a real-world scenario from the Leeds Metropolitan Area as a case study, we demonstrate an effective way to combine macro-level mobility simulations based on open data (i.e., geographic information system information and transit timetables) with evolutionary optimisation techniques to discover realistic optimised integration routes for CAVs. The macro-level mobility simulations are used to assess the quality (i.e., fitness) of a potential CAV route by quantifying geographic accessibility improvements using an extended version of Dijkstra's algorithm on an abstract multi-modal transport network.

Citation

HAN, K., CHRISTIE, L.A., ZAVOIANU, A.-C. and MCCALL, J. 2021. Optimising the introduction of connected and autonomous vehicles in a public transport system using macro-level mobility simulations and evolutionary algorithms. Presented at 2021 Genetic and evolutionary computation conference (GECCO 2021), 10-14 July 2021, [virtual conference].

• Presentation Conference Type: Poster
• Conference Name: 2021 Genetic and evolutionary computation conference (GECCO 2021)
• Start Date: Jul 10, 2021
• End Date: Jul 14, 2021
• Publication Date: Jul 14, 2021
• Deposit Date: Aug 13, 2021
• Publicly Available Date: Aug 13, 2021
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1145/3449726.3459476
• Keywords: Macro-level mobility simulations; Evolutionary algorithms; Public transport; Reachability isochrones; Multi-modal transport
• Public URL: https://rgu-repository.worktribe.com/output/1405798
• Additional Information: Abstract published as:; HAN, H., CHRISTIE, L.A., ZĂVOIANU, A.-C. and MCCALL, J. 2021. Optimising the introduction of connected and autonomous vehicles in a public transport system using macro-level mobility simulations and evolutionary algorithms. In Chicano, F. (ed.) GECCO '21: proceedings of 2021 Genetic and evolutionary computation conference companion, 10-14 July 2021, [virtual conference]. New York: ACM [online], pages 315-316. Available from: https://doi.org/10.1145/3449726.3459476