[HTML][HTML] How machine learning informs ride-hailing services: A survey

Y Liu, R Jia, J Ye, X Qu - Communications in Transportation Research, 2022 - Elsevier
In recent years, online ride-hailing services have emerged as an important component of
urban transportation system, which not only provide significant ease for residents' travel …

Reinforcement learning for ridesharing: An extended survey

ZT Qin, H Zhu, J Ye - Transportation Research Part C: Emerging …, 2022 - Elsevier
In this paper, we present a comprehensive, in-depth survey of the literature on reinforcement
learning approaches to decision optimization problems in a typical ridesharing system …

Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network

J Ke, X Qin, H Yang, Z Zheng, Z Zhu, J Ye - Transportation Research Part C …, 2021 - Elsevier
With the rapid development of mobile-internet technologies, on-demand ride-sourcing
services have become increasingly popular and largely reshaped the way people travel …

Competition and third-party platform-integration in ride-sourcing markets

Y Zhou, H Yang, J Ke, H Wang, X Li - Transportation Research Part B …, 2022 - Elsevier
Recently, some third-party integrators attempt to integrate the ride services offered by
multiple independent ride-sourcing platforms. Accordingly, passengers can request ride …

On ride-pooling and traffic congestion

J Ke, H Yang, Z Zheng - Transportation Research Part B: Methodological, 2020 - Elsevier
Ridesourcing platforms, such as Uber, Lyft and Didi, are now launching commercial on-
demand ride-pooling programs that enable their affiliated drivers to serve two or more …

Transportation-enabled services: Concept, framework, and research opportunities

N Agatz, SH Cho, H Sun, H Wang - Service Science, 2024 - pubsonline.informs.org
As a result of rapid advancements in urban infrastructure and technology, transportation is
transforming a variety of innovative and emerging services. This paper introduces the …

[HTML][HTML] Demand management for smart transportation: A review

X Qin, J Ke, X Wang, Y Tang, H Yang - Multimodal Transportation, 2022 - Elsevier
The current revolutions of automation, electrification, and sharing are resha** the way we
travel, with broad implications for future mobility management. While much uncertainty …

A mean-field Markov decision process model for spatial-temporal subsidies in ride-sourcing markets

Z Zhu, J Ke, H Wang - Transportation Research Part B: Methodological, 2021 - Elsevier
Ride-sourcing services are increasingly popular because of their ability to accommodate on-
demand travel needs. A critical issue faced by ride-sourcing platforms is the supply-demand …

[HTML][HTML] Simulation of price, customer behaviour and system impact for a cost-covering automated taxi system in Zurich

S Hörl, F Becker, KW Axhausen - Transportation Research Part C …, 2021 - Elsevier
Abstract Automated Mobility on Demand (AMoD) is a concept that has recently generated
much discussion. In cases where large-scale adoption of an automated taxi service is …

Robust matching-integrated vehicle rebalancing in ride-hailing system with uncertain demand

X Guo, NS Caros, J Zhao - Transportation Research Part B: Methodological, 2021 - Elsevier
With the rapid growth of the mobility-on-demand (MoD) market in recent years, ride-hailing
companies have become an important element of the urban mobility system. There are two …