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Carpooling in connected and autonomous vehicles: current solutions and future directions
Owing to the advancements in communication and computation technologies, the dream of
commercialized connected and autonomous cars is becoming a reality. However, among …
commercialized connected and autonomous cars is becoming a reality. However, among …
Shared Mobility's Role in Sustainable Mobility: Past, Present, and Future
This article reviews shared mobility, a prominent urban transportation concept with
considerable potential to contribute to more sustainable urban mobility. Shared passenger …
considerable potential to contribute to more sustainable urban mobility. Shared passenger …
[HTML][HTML] Business models for Mobility as an Service (MaaS)
Travellers often combine transport services from different firms to form trip chains: eg first
taking a train and then a bus. Integration of different forms of public and private transport into …
taking a train and then a bus. Integration of different forms of public and private transport into …
Modeling the capacity of multimodal and intermodal urban transportation networks that incorporate emerging travel modes
Given the increasing prevalence of new urban transport modes such as ridesharing, e-
hailing, and combined transport, it is essential to evaluate their effects on the capacity of …
hailing, and combined transport, it is essential to evaluate their effects on the capacity of …
Mechanism design for Mobility-as-a-Service platform considering travelers' strategic behavior and multidimensional requirements
Abstract Mobility-as-a-Service (MaaS) is an emerging transport model which provides
access to a combination of travel modes through a single platform. A MaaS operator sits …
access to a combination of travel modes through a single platform. A MaaS operator sits …
Optimal passenger-seeking policies on E-hailing platforms using Markov decision process and imitation learning
Vacant taxi drivers' passenger seeking process in a road network generates additional
vehicle miles traveled, adding congestion and pollution into the road network and the …
vehicle miles traveled, adding congestion and pollution into the road network and the …
Two-sided deep reinforcement learning for dynamic mobility-on-demand management with mixed autonomy
Autonomous vehicles (AVs) are expected to operate on mobility-on-demand (MoD)
platforms because AV technology enables flexible self-relocation and system-optimal …
platforms because AV technology enables flexible self-relocation and system-optimal …
Multi-agent reinforcement learning for Markov routing games: A new modeling paradigm for dynamic traffic assignment
This paper aims to develop a paradigm that models the learning behavior of intelligent
agents (including but not limited to autonomous vehicles, connected and automated …
agents (including but not limited to autonomous vehicles, connected and automated …
One-to-many matching and section-based formulation of autonomous ridesharing equilibrium
This paper models autonomous ridesharing—multiple travelers simultaneously riding one
shared autonomous vehicle (SAV)—in a network equilibrium setting with mixed SAV and …
shared autonomous vehicle (SAV)—in a network equilibrium setting with mixed SAV and …
Modeling mode choice of customized bus services with loyalty subscription schemes in multi-modal transportation networks
Y Gu, A Chen - Transportation Research Part C: Emerging …, 2023 - Elsevier
This study models the equilibrium mode choice of emerging customized bus (CB) services in
a multi-modal urban transportation network. Two unique characteristics of CB services are …
a multi-modal urban transportation network. Two unique characteristics of CB services are …