Exploring the performance of autonomous mobility on-demand systems under demand uncertainty
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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23249935
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Supplemental Notes:
- © 2018 Hong Kong Society for Transportation Studies Limited.
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Authors:
- Javanshour, Farid
- Dia, Hussein
- Duncan, Gordon
- Publication Date: 2019-11
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 698-721
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Serial:
- Transportmetrica A: Transport Science
- Volume: 15
- Issue Number: 2
- Publisher: Taylor & Francis
- ISSN: 2324-9935
- EISSN: 2324-9943
- Serial URL: http://www.tandfonline.com/loi/ttra21
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Case studies; Demand responsive transportation; Forecasting; Ridesharing; Uncertainty; Urban areas; Vehicle fleets; Vehicle miles of travel; Vehicle sharing
- Geographic Terms: Melbourne (Australia)
- Subject Areas: Operations and Traffic Management; Planning and Forecasting; Public Transportation; Vehicles and Equipment;
Filing Info
- Accession Number: 01724733
- Record Type: Publication
- Files: TRIS
- Created Date: Dec 6 2019 2:04PM