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Research Article

Optimisation of a new hybrid transit service with modular autonomous vehicles

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Article: 2165424 | Received 13 May 2022, Accepted 02 Jan 2023, Published online: 12 Jan 2023
 

Abstract

This study devises a novel hybrid public-transit service that uses modular autonomous vehicles (MAVs) coupled in one fleet that travels a fixed base route. MAVs can decouple from the fleet at the beginning of selected road segments and recouple to the fleet at the end of these segments. This allows a decoupled MAV to serve passengers who request door-to-door service within the deviated area, while the other passengers complete their trips via regular service. This study develops an optimisation model to determine the deviated segments, the MAVs to be decoupled and the corresponding timetable that minimises the total passenger and operator costs. Finally, a case study is conducted using real data from Dalian, China. The results show that compared with a conventional fixed-route service, the hybrid service significantly reduces the total system cost, especially passenger walking and waiting time costs..

Acknowledgements

The authors are grateful for the support of the National Natural Science Foundation of China (grant number 71801027) and the Ministry of Education of Humanities and Social Science Project: [Grant number 22YJC630124]. Any opinions, findings, conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the funding body.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by National Natural Science Foundation of China: [Grant Number 71801027] and the Ministry of Education of Humanities and Social Science Project: [Grant number 22YJC630124].

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