Routing and rebalancing intermodal autonomous mobility-on-demand systems in mixed traffic

S Wollenstein-Betech, M Salazar… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This paper studies congestion-aware route-planning policies for intermodal Autonomous
Mobility-on-Demand (AMoD) systems, whereby a fleet of autonomous vehicles provides on …

Two-sided deep reinforcement learning for dynamic mobility-on-demand management with mixed autonomy

J Xie, Y Liu, N Chen - Transportation Science, 2023 - pubsonline.informs.org
Autonomous vehicles (AVs) are expected to operate on mobility-on-demand (MoD)
platforms because AV technology enables flexible self-relocation and system-optimal …

Competition between autonomous and traditional ride-hailing platforms: Market equilibrium and technology transfer

Z Wang, S Li - Transportation Research Part C: Emerging …, 2024 - Elsevier
Autonomous ride-hailing platforms, such as Waymo and Cruise, are quickly expanding their
services, but their interactions with the existing ride-hailing companies, such as Uber and …

Rebalancing and charging scheduling with price incentives for car sharing systems

G Guo, M Kang - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
This paper studies the joint problem of optimal pricing, charging scheduling and rebalancing
for one-way car sharing systems. Firstly, a price driven customers travel mechanism is given …

Congestion-aware routing and rebalancing of autonomous mobility-on-demand systems in mixed traffic

S Wollenstein-Betech, A Houshmand… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
This paper studies congestion-aware route-planning policies for Autonomous Mobility-on-
Demand (AMoD) systems, whereby a fleet of autonomous vehicles provides on demand …

Dispatching and rebalancing for ride-sharing autonomous mobility-on-demand systems based on a fuzzy multi-criteria approach

R Khemiri, M Naija, E Exposito - Soft Computing, 2023 - Springer
This paper presents an integrated approach, of a multi-criteria decision-making framework
and fuzzy multi-objective programming to optimize dispatching and rebalancing for Ride …

Modeling, Analysis, and Control of Autonomous Mobility-on-Demand Systems: A Discrete-Time Linear Dynamical System and a Model Predictive Control Approach

A Aalipour, A Khani - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Autonomous vehicles are rapidly evolving and will soon enable large-scale mobility-on-
demand (MoD) systems applications. Managing the fleets of available vehicles, commonly …

Planning and operation of ride-hailing networks with a mixture of level-4 autonomous vehicles and for-hire human drivers

Z Wang, J Ke, S Li - Transportation Research Part C: Emerging …, 2024 - Elsevier
This paper investigates the joint planning and operation of a ride-hailing network with a
mixture of level-4 autonomous vehicles (AVs) and for-hire human drivers. Distinct from most …

Competition in electric autonomous mobility-on-demand systems

B Turan, M Alizadeh - IEEE Transactions on Control of Network …, 2021 - ieeexplore.ieee.org
This article investigates the impacts of competition in autonomous mobility-on-demand
systems. By adopting a network-flow based formulation, we first determine the optimal …

Joint mobility and vehicle-to-grid coordination in rebalancing shared mobility-on-demand systems

T Zeng, S Moura, Z Zhou - IFAC-PapersOnLine, 2023 - Elsevier
Abstract Vehicle-to-Grid (V2G) technology enables plug-in electric vehicles (PEVs) to act as
controllable loads and distributed energy resources for power systems. However, these …