Maximum throughput dispatch for shared autonomous vehicles including vehicle rebalancing
J Robbennolt, MW Levin - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Shared autonomous vehicles (SAVs) provide on demand point-to-point transportation for
passengers. This service has been extensively studied using dispatch heuristics and agent …
passengers. This service has been extensively studied using dispatch heuristics and agent …
Multi-agent transfer learning in reinforcement learning-based ride-sharing systems
A Castagna, I Dusparic - arXiv preprint arXiv:2112.00424, 2021 - arxiv.org
Reinforcement learning (RL) has been used in a range of simulated real-world tasks, eg,
sensor coordination, traffic light control, and on-demand mobility services. However, real …
sensor coordination, traffic light control, and on-demand mobility services. However, real …
A Survey of Machine Learning-Based Ride-Hailing Planning
D Wen, Y Li, FCM Lau - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Ride-hailing is a sustainable transportation paradigm where riders access door-to-door
traveling services through a mobile phone application, which has attracted a colossal …
traveling services through a mobile phone application, which has attracted a colossal …
A Survey of Machine Learning-Based Ride-Hailing Planning
D Wen, Y Li, F Lau - arXiv preprint arXiv:2303.14646, 2023 - arxiv.org
Ride-hailing is a sustainable transportation paradigm where riders access door-to-door
traveling services through a mobile phone application, which has attracted a colossal …
traveling services through a mobile phone application, which has attracted a colossal …
Expert-free online transfer learning in multi-agent reinforcement learning
A Castagna, I Dusparic - ECAI 2023, 2023 - ebooks.iospress.nl
Abstract Transfer learning in Reinforcement Learning (RL) has been widely studied to
overcome training challenges in Deep-RL, ie, exploration cost, data availability and …
overcome training challenges in Deep-RL, ie, exploration cost, data availability and …
Mathematical Modeling on Integrated Vehicle Assignment and Rebalancing in Ride-hailing System with Uncertainty Using Fuzzy Linear Programming
TR Megantara, S Supian… - Journal of Advanced …, 2024 - semarakilmu.com.my
The general public frequently uses taxis as local transportation to get from one location to
another. Ride-hailing is an innovation in taxi services that lets customers use their …
another. Ride-hailing is an innovation in taxi services that lets customers use their …
Reinforcement Learning for Sustainability: Adapting in large-scale heterogeneous dynamic environments
I Dusparic - 2022 IEEE International Conference on Autonomic …, 2022 - ieeexplore.ieee.org
Reinforcement learning (RL) has seen major breakthroughs in the recent years, most
notably outperforming humans Atari, Go, and StarCraft games. RL use is also being …
notably outperforming humans Atari, Go, and StarCraft games. RL use is also being …
[HTML][HTML] Ride Sharing Using Dynamic Rebalancing with PSO Clustring: A Case Study of NYC
M Maaskri, M Hamou Reda - Computación y Sistemas, 2022 - scielo.org.mx
The shared vehicle can improve the efficiency of urban mobility by reducing car ownership
and parking demand. Existing rebalancing research divides the system coverage area into …
and parking demand. Existing rebalancing research divides the system coverage area into …