Approximate optimum curbside utilisation for pick-up and drop-off (PUDO) and parking demands using reinforcement learning

Q Ye, Y Feng, J Qiu, M Stettler… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
With the uptake of automated transport, especially Pick-Up and Drop-Off (PUDO) operations
of Shared Autonomous Vehicles (SAVs), the valet parking of passenger vehicles and …

Reinforcement Learning for Curbside Space Management with Infrastructure Autonomy and Mixed Vehicle Connectivity

S Yin, Z Cui, Y Wang - 2022 IEEE 25th International …, 2022 - ieeexplore.ieee.org
Urban curbside parking has been a headache for a wide range of urban stakeholders. It is
difficult to solve and is rarely regarded independent from the well-studied parking …

[HTML][HTML] Model-Based predictive control and reinforcement learning for planning vehicle-parking trajectories for vertical parking spaces

J Shi, K Li, C Piao, J Gao, L Chen - Sensors, 2023 - mdpi.com
This paper proposes a vehicle-parking trajectory planning method that addresses the issues
of a long trajectory planning time and difficult training convergence during automatic …

[PDF][PDF] Deep Reinforcement Learning for Automated Parking

DFL Moreira - 2021 - repositorio-aberto.up.pt
Private transportation has been steadily increasing for decades, as each year a bigger
percentage of the worlds population owns their private car, with some people even acquiring …

A reinforcement learning based path guidance scheme for long-range autonomous valet parking in smart cities

M Khalid, N Aslam, L Wang - 2020 IEEE Eighth International …, 2020 - ieeexplore.ieee.org
Finding a parking slot in the city centre has always been a great challenge. In many cases,
drivers spend a lot of time roaming around looking for an empty and suitable parking slot …

Automated Valet Parking and Charging: A Dynamic Pricing and Reservation-Based Framework Leveraging Multi-Agent Reinforcement Learning

GO Boateng, H Si, H Xia, X Guo, C Chen… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Vehicle parking resource provisioning in major cities and urban areas has gradually
become a challenging issue in Intelligent Transportation Systems (ITS) due to the upward …

A DRL based cooperative approach for parking space allocation in an automated valet parking system

J Xie, Z He, Y Zhu - Applied Intelligence, 2023 - Springer
Automated valet parking (AVP) is one of the most advanced technologies for improving
parking efficiency and security. However, in an AVP system, the traditional vehicle-side …

Flexpool: A distributed model-free deep reinforcement learning algorithm for joint passengers and goods transportation

K Manchella, AK Umrawal… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The growth in online goods delivery is causing a dramatic surge in urban vehicle traffic from
last-mile deliveries. On the other hand, ride-sharing has been on the rise with the success of …

Self-parking car simulation using reinforcement learning approach for moderate complexity parking scenario

B Thunyapoo, C Ratchadakorntham… - 2020 17th …, 2020 - ieeexplore.ieee.org
Autonomous parking system is essential in reducing time for waiting to park in the parking
spaces or looking for space, particularly in the smart city. We propose the auto-parking car …

Autonomous valet parking with asynchronous advantage actor-critic proximal policy optimization

T Tiong, I Saad, KTK Teo… - 2022 IEEE 12th Annual …, 2022 - ieeexplore.ieee.org
Autonomous valet parking (AVP) is one of the main features of autonomous vehicles.
Autonomous parking system is essential to reduce waiting time to search for available lot …