A survey on urban traffic control under mixed traffic environment with connected automated vehicles
Efficient traffic control can alleviate traffic congestion, reduce fuel consumption, and improve
traffic safety. With the development of communication and automation technologies, regular …
traffic safety. With the development of communication and automation technologies, regular …
[HTML][HTML] Leveraging reinforcement learning for dynamic traffic control: A survey and challenges for field implementation
In recent years, the advancement of artificial intelligence techniques has led to significant
interest in reinforcement learning (RL) within the traffic and transportation community …
interest in reinforcement learning (RL) within the traffic and transportation community …
Dynamics of heterogeneity in urban networks: aggregated traffic modeling and hierarchical control
Real traffic data and simulation analysis reveal that for some urban networks a well-defined
Macroscopic Fundamental Diagram (MFD) exists, which provides a unimodal and low …
Macroscopic Fundamental Diagram (MFD) exists, which provides a unimodal and low …
Perimeter and boundary flow control in multi-reservoir heterogeneous networks
K Aboudolas, N Geroliminis - Transportation Research Part B …, 2013 - Elsevier
In this paper, we macroscopically describe the traffic dynamics in heterogeneous
transportation urban networks by utilizing the Macroscopic Fundamental Diagram (MFD), a …
transportation urban networks by utilizing the Macroscopic Fundamental Diagram (MFD), a …
Enhancing model-based feedback perimeter control with data-driven online adaptive optimization
Most feedback perimeter control approaches that are based on the Macroscopic
Fundamental Diagram (MFD) and are tested in detailed network structures restrict inflow …
Fundamental Diagram (MFD) and are tested in detailed network structures restrict inflow …
On the spatial partitioning of urban transportation networks
Y Ji, N Geroliminis - Transportation Research Part B: Methodological, 2012 - Elsevier
It has been recently shown that a macroscopic fundamental diagram (MFD) linking space-
mean network flow, density and speed exists in the urban transportation networks under …
mean network flow, density and speed exists in the urban transportation networks under …
[HTML][HTML] Stabilization of city-scale road traffic networks via macroscopic fundamental diagram-based model predictive perimeter control
II Sirmatel, N Geroliminis - Control Engineering Practice, 2021 - Elsevier
Traffic control for large-scale urban road networks remains a challenging problem.
Aggregated dynamical models of city-scale traffic, based on the macroscopic fundamental …
Aggregated dynamical models of city-scale traffic, based on the macroscopic fundamental …
Economic model predictive control of large-scale urban road networks via perimeter control and regional route guidance
II Sirmatel, N Geroliminis - IEEE Transactions on Intelligent …, 2017 - ieeexplore.ieee.org
Local traffic control schemes fall short of achieving coordination with other parts of the urban
road network, whereas a centralized controller based on the detailed traffic models would …
road network, whereas a centralized controller based on the detailed traffic models would …
Macroscopic network-level traffic models: Bridging fifty years of development toward the next era
Network macroscopic fundamental diagrams (NMFD) and related network-level traffic
dynamics models have received both theoretical support and empirical validation with the …
dynamics models have received both theoretical support and empirical validation with the …
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 …