A prediction-based iterative Kuhn-Munkres approach for service vehicle reallocation in ride-hailing
Y Guo, W Li, L Xiao, H Allaoui - International Journal of Production …, 2024 - Taylor & Francis
Online ride-hailing services provide additional transportation capability by recruiting private
vehicles to meet people's growing travel demand. To ensure the profitability of drivers and …
vehicles to meet people's growing travel demand. To ensure the profitability of drivers and …
Optimal operations planning of electric autonomous vehicles via asynchronous learning in ride-hailing systems
G Yu, A Liu, J Zhang, H Sun - Omega, 2021 - Elsevier
Ride-hailing systems with electric autonomous vehicles are recognized as a next-generation
development to ease congestion, reduce costs and carbon emissions. In this paper, we …
development to ease congestion, reduce costs and carbon emissions. In this paper, we …
A GAN framework-based dynamic multi-graph convolutional network for origin–destination-based ride-hailing demand prediction
Z Huang, W Zhang, D Wang, Y Yin - Information Sciences, 2022 - Elsevier
Ride-hailing demand prediction plays an important role in ride-hailing vehicle scheduling,
traffic condition control and intelligent transportation system construction. Accurate and real …
traffic condition control and intelligent transportation system construction. Accurate and real …
SMART-eFlo: An integrated SUMO-gym framework for multi-agent reinforcement learning in electric fleet management problem
Electric vehicles (EVs) have been used in the ride-hailing system in recent years, which
brings the electric fleet management problem (EFMP) critical. This paper aims to leverage …
brings the electric fleet management problem (EFMP) critical. This paper aims to leverage …
Coordinating ride-sourcing and public transport services with a reinforcement learning approach
Combining ride-sourcing and public transit services (with ride-sourcing service to address
the first/last-mile issues) can bring many benefits, such as saving passengers' trip fares …
the first/last-mile issues) can bring many benefits, such as saving passengers' trip fares …
A stepwise interpretable machine learning framework using linear regression (LR) and long short-term memory (LSTM): City-wide demand-side prediction of yellow …
As app-based ride-hailing services have been widely adopted within existing traditional taxi
markets, researchers have been devoted to understand the important factors that influence …
markets, researchers have been devoted to understand the important factors that influence …
Adaptive dynamic programming for multi-driver order dispatching at large-scale
Order dispatching, which involves assigning orders to demand-matched vehicles, is an
underlying issue for ride-sharing services. Previous works on order dispatching are often …
underlying issue for ride-sharing services. Previous works on order dispatching are often …
Upping the game of taxi driving in the age of Uber
In most cities, taxis play an important role in providing point-to-point transportation service. If
the taxi service is reliable, responsive, and cost-effective, past studies show that taxi-like …
the taxi service is reliable, responsive, and cost-effective, past studies show that taxi-like …
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 …
transform urban mobility by providing personalized and convenient transportation while …
Mutual Information as Intrinsic Reward of Reinforcement Learning Agents for On-demand Ride Pooling
The emergence of on-demand ride pooling services allows each vehicle to serve multiple
passengers at a time, thus increasing drivers' income and enabling passengers to travel at …
passengers at a time, thus increasing drivers' income and enabling passengers to travel at …