Data-driven distributionally robust electric vehicle balancing for autonomous mobility-on-demand systems under demand and supply uncertainties
Electric vehicles (EVs) are being rapidly adopted due to their economic and societal
benefits. Autonomous mobility-on-demand (AMoD) systems also embrace this trend …
benefits. Autonomous mobility-on-demand (AMoD) systems also embrace this trend …
A robust and constrained multi-agent reinforcement learning framework for electric vehicle amod systems
Electric vehicles (EVs) play critical roles in autonomous mobility-on-demand (AMoD)
systems, but their unique charging patterns increase the model uncertainties in AMoD …
systems, but their unique charging patterns increase the model uncertainties in AMoD …
Modular autonomous electric vehicle scheduling for customized on-demand bus services
The emerging customized bus system based on modular autonomous electric vehicles
(MAEVs) shows tremendous potential to improve the mobility, accessibility and …
(MAEVs) shows tremendous potential to improve the mobility, accessibility and …
Robust electric vehicle balancing of autonomous mobility-on-demand system: A multi-agent reinforcement learning approach
Electric autonomous vehicles (EAVs) are getting attention in future autonomous mobility-on-
demand (AMoD) systems due to their economic and societal benefits. However, EAVs' …
demand (AMoD) systems due to their economic and societal benefits. However, EAVs' …
Quality-of-service aware battery swapping navigation and pricing for autonomous mobility-on-demand system
The autonomous mobility-on-demand (AMoD) system is regarded as a promising shared
mobility method for the sustainable transportation system. In addition, battery swapping …
mobility method for the sustainable transportation system. In addition, battery swapping …
Fleet management and charging scheduling for shared mobility-on-demand system: A systematic review
Challenged by urbanization and increasing travel needs, existing transportation systems call
for new mobility paradigms. In this article, we present the fleet management and charging …
for new mobility paradigms. In this article, we present the fleet management and charging …
Data-driven vehicle rebalancing with predictive prescriptions in the ride-hailing system
Rebalancing vacant vehicles is one of the most critical strategies in ride-hailing operations.
An effective rebalancing strategy can significantly reduce empty miles traveled and reduce …
An effective rebalancing strategy can significantly reduce empty miles traveled and reduce …
Mechanism design theory in control engineering: A tutorial and overview of applications in communication, power grid, transportation, and security systems
IV Chremos, AA Malikopoulos - IEEE Control Systems …, 2024 - ieeexplore.ieee.org
This article provides an introduction to the theory of mechanism design and its application to
engineering problems. Our aim is to provide the fundamental principles of mechanism …
engineering problems. Our aim is to provide the fundamental principles of mechanism …
Addressing the urban-scale vehicle assignment and rebalancing problems in shared autonomous vehicle system while simultaneously considering immediate …
L Duan, Y Wei, J Zhang, Y Xia - Computers & Industrial Engineering, 2023 - Elsevier
Recently, the autonomous driving technology has developed rapidly with the shared
autonomous vehicle system extensively investigated. However, little attention has been …
autonomous vehicle system extensively investigated. However, little attention has been …
Learning-based online optimization for autonomous mobility-on-demand fleet control
Autonomous mobility-on-demand systems are a viable alternative to mitigate many
transportation-related externalities in cities, such as rising vehicle volumes in urban areas …
transportation-related externalities in cities, such as rising vehicle volumes in urban areas …