Macroscopic modeling and dynamic control of on-street cruising-for-parking of autonomous vehicles in a multi-region urban road network
The spatio-temporal imbalance of parking demand and supply results in unwanted on-street
cruising-for-parking traffic of conventional vehicles. Autonomous vehicles (AVs) can self …
cruising-for-parking traffic of conventional vehicles. Autonomous vehicles (AVs) can self …
Data efficient reinforcement learning and adaptive optimal perimeter control of network traffic dynamics
Existing data-driven and feedback traffic control strategies do not consider the heterogeneity
of real-time data measurements. Besides, traditional reinforcement learning (RL) methods …
of real-time data measurements. Besides, traditional reinforcement learning (RL) methods …
[HTML][HTML] Modeling, estimation, and control in large-scale urban road networks with remaining travel distance dynamics
City-scale control of urban road traffic poses a challenging problem. Dynamical models
based on the macroscopic fundamental diagram (MFD) enable development of model …
based on the macroscopic fundamental diagram (MFD) enable development of model …
Perimeter control with real-time location-varying cordon
With unbalanced travel demand distribution over time and space, a stationary cordon
location hinders the full potential of perimeter flow control based on network Macroscopic …
location hinders the full potential of perimeter flow control based on network Macroscopic …
An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand
This paper presents a novel actor-critic deep reinforcement learning approach for metro train
scheduling with circulation of limited rolling stock. The scheduling problem is modeled as a …
scheduling with circulation of limited rolling stock. The scheduling problem is modeled as a …
Hierarchical control for stochastic network traffic with reinforcement learning
This study proposes a hierarchical control framework to maximize the throughput of a road
network driven by travel demand with uncertainties. In the upper level, a perimeter controller …
network driven by travel demand with uncertainties. In the upper level, a perimeter controller …
Percolation-based dynamic perimeter control for mitigating congestion propagation in urban road networks
Perimeter control regulates the traffic flows between different regions of a road network by
coordinating the signal timings at region boundaries with the aim of improving the overall …
coordinating the signal timings at region boundaries with the aim of improving the overall …
Scalable multi-region perimeter metering control for urban networks: A multi-agent deep reinforcement learning approach
Perimeter metering control based on macroscopic fundamental diagrams has attracted
increasing research interests over the past decade. This strategy provides a convenient way …
increasing research interests over the past decade. This strategy provides a convenient way …
Resilient perimeter control for hyper-congested two-region networks with MFD dynamics
Understanding the resilience of transportation networks has received considerable research
attention. Nevertheless in the field of network traffic flow control, few control approaches …
attention. Nevertheless in the field of network traffic flow control, few control approaches …
Model-free perimeter metering control for two-region urban networks using deep reinforcement learning
Various perimeter metering control strategies have been proposed for urban traffic networks
that rely on the existence of well-defined relationships between network productivity and …
that rely on the existence of well-defined relationships between network productivity and …