Spatio-temporal adaptive pricing for balancing mobility-on-demand networks
Pricing in mobility-on-demand (MOD) networks, such as Uber, Lyft, and connected taxicabs,
is done adaptively by leveraging the price responsiveness of drivers (supplies) and …
is done adaptively by leveraging the price responsiveness of drivers (supplies) and …
Spatio-temporal capsule-based reinforcement learning for mobility-on-demand network coordination
As an alternative means of convenient and smart transportation, mobility-on-demand (MOD),
typified by online ride-sharing and connected taxicabs, has been rapidly growing and …
typified by online ride-sharing and connected taxicabs, has been rapidly growing and …
Spatio-temporal capsule-based reinforcement learning for mobility-on-demand coordination
As an alternative means of convenient and smart transportation, mobility-on-demand (MOD),
typified by online ride-sharing and connected taxicabs, has been rapidly growing and …
typified by online ride-sharing and connected taxicabs, has been rapidly growing and …
Real-time ridesharing operations for on-demand capacitated systems considering dynamic travel time information
Z Ghandeharioun, A Kouvelas - Transportation Research Part C: Emerging …, 2023 - Elsevier
Urban mobility is facing a paradigm shift towards providing more convenient,
environmentally friendly, and on-demand services. Satisfying customer needs in a cost …
environmentally friendly, and on-demand services. Satisfying customer needs in a cost …
[HTML][HTML] Optimal matching for coexisting ride-hailing and ridesharing services considering pricing fairness and user choices
Abstract Mobility-on-demand (MoD) has the potential to revolutionise the patterns of urban
mobility. Typically, an MoD platform provides both ride-hailing and ridesharing services …
mobility. Typically, an MoD platform provides both ride-hailing and ridesharing services …
Spatio-temporal pricing algorithm for ride-hailing platforms where drivers can decline ride requests
This study develops an algorithm to determine the pricing policy and matching rate for ride-
hailing platforms to maximize their profitability by considering:(a) drivers' decisions to accept …
hailing platforms to maximize their profitability by considering:(a) drivers' decisions to accept …
[HTML][HTML] Dynamic ride-sourcing systems for city-scale networks-Part I: Matching design and model formulation and validation
M Ramezani, AH Valadkhani - Transportation Research Part C: Emerging …, 2023 - Elsevier
The ubiquity of smart devices enables the foundation for emerging fast-growing ride-
sourcing companies that challenge traditional taxi services. Two design aspects of on …
sourcing companies that challenge traditional taxi services. Two design aspects of on …
Spatial-temporal pricing for ride-sourcing platform with reinforcement learning
Ever since the emergence of ride-sourcing services, the spatial–temporal pricing problem
has been a hot research topic in both the transportation and management fields. The …
has been a hot research topic in both the transportation and management fields. The …
[HTML][HTML] On the inefficiency of ride-sourcing services towards urban congestion
CV Beojone, N Geroliminis - Transportation research part C: emerging …, 2021 - Elsevier
The advent of shared-economy and smartphones made on-demand transportation services
possible, which created additional opportunities, but also more complexity to urban mobility …
possible, which created additional opportunities, but also more complexity to urban mobility …
Understanding the operational dynamics of mobility service providers: a case of uber
The rise of mobility service providers (MSPs) is reforming the traditional taxi service (TTS)
market. MSPs differ from TTS with the core idea of using technology to optimally match riders …
market. MSPs differ from TTS with the core idea of using technology to optimally match riders …