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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.; Zăvoianu, Alexandru-Ciprian; McCall, John

Authors



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., 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. 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)
Conference Location [virtual conference]
Start Date Jul 10, 2021
End Date Jul 14, 2021
Online Publication Date Jul 8, 2021
Publication Date Jul 14, 2021
Deposit Date Aug 13, 2021
Publicly Available Date Aug 13, 2021
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

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