Exploring the performance of autonomous mobility on-demand systems under demand uncertainty
Authored by Farid Javanshour, Hussein Dia, Gordon Duncan
Date Published: 2019
DOI: 10.1080/23249935.2018.1528485
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Platforms:
Commuter
Model Documentation:
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Abstract
This paper aims to explore the performance of Autonomous Mobility
on-Demand (AMoD) systems under uncertain travel demands in an urban
environment using a case study of Melbourne, Australia. The results of
the simulation model developed in this study showed that an AMoD system
could reduce the current fleet size by 84\% while still meeting the same
demand for travel. This, however, comes at a cost of more
Vehicle-Kilometres Travelled (VKT). The increase in VKT is significant
and amounts to around 77\% for scenarios in which the vehicles are used
in car-sharing systems, and 29\% for the scenarios in which vehicles are
used as ride-sharing systems. These findings show that the benefits
reported in other studies have mainly been overestimated. The current
study has also discovered a strong quadratic relationship between AMoD
fleet size and VKT.
Tags
agent-based simulation
Travel
Vehicles
Autonomous vehicles
Agent-based
modelling
Autonomous mobility-on-demand systems
Disruptive mobility