Fleet management optimisation for ride-hailing services: From mixed traffic to fully automated environments

Q. Fan

doi:10.4233/uuid:eb3368a4-f45d-493f-8270-68d20a0309e3

Fleet management optimisation for ride-hailing services: From mixed traffic to fully automated environments

Q. Fan^*

^*Corresponding author for this work

Discrete Mathematics and Optimization

Research output: Thesis › Dissertation (TU Delft)

7 Downloads (Pure)

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Delft University of Technology
Supervisors/Advisors	van Essen, J.T., Promotor Homem de Almeida Correia, G., Promotor
Award date	29 Apr 2025
Print ISBNs	978-90-5584-359-6
Electronic ISBNs	978-90-5584-359-6
DOIs	https://doi.org/10.4233/uuid:eb3368a4-f45d-493f-8270-68d20a0309e3
Publication status	Published - 2025

Keywords

Fleet management
Fleet sizing
Pricing
Ride-hailing service
Optimisation
Approximated mixed equilibrium
Congestion
choice modelling
Shared automated vehicle

Access to Document

10.4233/uuid:eb3368a4-f45d-493f-8270-68d20a0309e3

Thesis_QiaochuFan_finalFinal published version, 16.4 MBLicence: CC BY

Cite this

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title = "Fleet management optimisation for ride-hailing services: From mixed traffic to fully automated environments",

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author = "Q. Fan",

year = "2025",

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KW - Optimisation

KW - Approximated mixed equilibrium

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KW - choice modelling

KW - Shared automated vehicle

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M3 - Dissertation (TU Delft)

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