Carpooling in connected and autonomous vehicles: current solutions and future directions

F Zafar, HA Khattak, M Aloqaily, R Hussain - ACM Computing Surveys …, 2022 - dl.acm.org
Owing to the advancements in communication and computation technologies, the dream of
commercialized connected and autonomous cars is becoming a reality. However, among …

Shared Mobility's Role in Sustainable Mobility: Past, Present, and Future

LM Martinez, JP Pritchard, P Crist - Annual Review of …, 2024 - annualreviews.org
This article reviews shared mobility, a prominent urban transportation concept with
considerable potential to contribute to more sustainable urban mobility. Shared passenger …

[HTML][HTML] Business models for Mobility as an Service (MaaS)

VAC van den Berg, H Meurs, ET Verhoef - Transportation Research Part B …, 2022 - Elsevier
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 …

Modeling the capacity of multimodal and intermodal urban transportation networks that incorporate emerging travel modes

M Du, J Zhou, A Chen, H Tan - … Part E: Logistics and Transportation Review, 2022 - Elsevier
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 …

Mechanism design for Mobility-as-a-Service platform considering travelers' strategic behavior and multidimensional requirements

X Ding, Q Qi, S Jian, H Yang - Transportation Research Part B …, 2023 - Elsevier
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 …

Optimal passenger-seeking policies on E-hailing platforms using Markov decision process and imitation learning

Z Shou, X Di, J Ye, H Zhu, H Zhang… - … Research Part C …, 2020 - Elsevier
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 …

Two-sided deep reinforcement learning for dynamic mobility-on-demand management with mixed autonomy

J **e, Y Liu, N Chen - Transportation Science, 2023 - pubsonline.informs.org
Autonomous vehicles (AVs) are expected to operate on mobility-on-demand (MoD)
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

Z Shou, X Chen, Y Fu, X Di - Transportation Research Part C: Emerging …, 2022 - Elsevier
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 …

One-to-many matching and section-based formulation of autonomous ridesharing equilibrium

M Noruzoliaee, B Zou - Transportation Research Part B: Methodological, 2022 - Elsevier
This paper models autonomous ridesharing—multiple travelers simultaneously riding one
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 …