Optimization of ride-sharing with passenger transfer via deep reinforcement learning

D Wang, Q Wang, Y Yin, TCE Cheng - Transportation Research Part E …, 2023 - Elsevier
With the emergence of the sharing economy and the rapid growth of mobile communications
technologies, many novel sharing service models have been developed stemming from ride …

A distributed model-free ride-sharing approach for joint matching, pricing, and dispatching using deep reinforcement learning

M Haliem, G Mani, V Aggarwal… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Significant development of ride-sharing services presents a plethora of opportunities to
transform urban mobility by providing personalized and convenient transportation while …

Bus pooling: A large-scale bus ridesharing service

K Liu, J Zhang, Q Yang - IEEE Access, 2019 - ieeexplore.ieee.org
Ridesharing, a shared service that uses the information and knowledge matching, can
efficiently utilize scattered social resources to reduce the demand for vehicles in urban road …

Reinforcement learning for ridesharing: A survey

ZT Qin, H Zhu, J Ye - 2021 IEEE international intelligent …, 2021 - ieeexplore.ieee.org
In this paper, we present a comprehensive, in-depth survey of the literature on reinforcement
learning approaches to ridesharing problems. Papers on the topics of rideshare matching …

A distributed model-free algorithm for multi-hop ride-sharing using deep reinforcement learning

A Singh, AO Al-Abbasi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The growth of autonomous vehicles, ridesharing systems, and self-driving technology will
bring a shift in the way ride hailing platforms plan out their services. However, these …

Deeppool: Distributed model-free algorithm for ride-sharing using deep reinforcement learning

AO Al-Abbasi, A Ghosh… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The success of modern ride-sharing platforms crucially depends on the profit of the ride-
sharing fleet operating companies, and how efficiently the resources are managed. Further …

[PDF][PDF] A reinforcement learning based algorithm for multi-hop ride-sharing: Model-free approach

A Singh, A Al-Abbasi, V Aggarwal - Neural Information Processing …, 2019 - ml4ad.github.io
The growth of autonomous vehicles and self driving technology will bring a shift in the way
ride hailing platforms plan out their services. In this paper, we propose a novel multi-hop ride …

An integrated decomposition and approximate dynamic programming approach for on-demand ride pooling

X Yu, S Shen - IEEE Transactions on Intelligent Transportation …, 2019 - ieeexplore.ieee.org
Through smartphone apps, drivers and passengers can dynamically enter and leave ride-
hailing platforms. As a result, ride-pooling is challenging due to complex system dynamics …

A distributed model-free ride-sharing algorithm with pricing using deep reinforcement learning

M Haliem, G Mani, V Aggarwal… - Proceedings of the 4th …, 2020 - dl.acm.org
Modern-day ride-sharing platforms leave out drivers and customers in the decision-making
process of the rides in terms of vehicle-customer matching as well as pricing. We propose a …

[HTML][HTML] A simulation–optimization framework for a dynamic electric ride-hailing sharing problem with a novel charging strategy

X Zhan, WY Szeto, XM Chen - … Part E: Logistics and Transportation Review, 2022 - Elsevier
Electric vehicles (EVs) are more environmentally friendly than gasoline vehicles (GVs). To
reduce environmental pollution caused by ride-hailing gasoline vehicles (RGVs), they have …