Optimisation of a new hybrid transit service with modular autonomous vehicles
Document Type
Journal Article
Publication Date
2023
Subject Area
place - asia, mode - other, operations - scheduling, economics - operating costs, infrastructure - fleet management
Keywords
Public transport, flexible transit, modular autonomous vehicles
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.
Rights
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Recommended Citation
Tang, C., Liu, J., Ceder, A., & Jiang, Y. (2024). Optimisation of a new hybrid transit service with modular autonomous vehicles. Transportmetrica A: transport science, 20(2), 2165424.
