Equilibrium analysis and route guidance in large-scale networks with MFD dynamics
Recent studies have demonstrated that Macroscopic Fundamental Diagram (MFD), which
provides an aggregated model of urban traffic dynamics linking network production and …
provides an aggregated model of urban traffic dynamics linking network production and …
Hierarchical control of heterogeneous large-scale urban road networks via path assignment and regional route guidance
High level of detail renders microscopic traffic models impractical for control purposes and
local control schemes cannot coordinate actions over large scale heterogeneously …
local control schemes cannot coordinate actions over large scale heterogeneously …
Data fusion algorithm for macroscopic fundamental diagram estimation
A promising framework that describes traffic conditions in urban networks is the macroscopic
fundamental diagram (MFD), relating average flow and average density in a relatively …
fundamental diagram (MFD), relating average flow and average density in a relatively …
Multi-scale perimeter control approach in a connected-vehicle environment
This paper proposes a novel approach to integrate optimal control of perimeter intersections
(ie to minimize local delay) into the perimeter control scheme (ie to optimize traffic …
(ie to minimize local delay) into the perimeter control scheme (ie to optimize traffic …
Estimating MFDs, trip lengths and path flow distributions in a multi-region setting using mobile phone data
The present work proposes a global framework to estimate all MFD model parameters using
mobile phone data. The three major components that are estimated in the present context …
mobile phone data. The three major components that are estimated in the present context …
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 …
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 …
Traffic-responsive signals combined with perimeter control: investigating the benefits
Empirical and research evidence suggests that traffic-responsive signal control strategies
are generally not as efficient in over-saturated traffic conditions characterized by queue …
are generally not as efficient in over-saturated traffic conditions characterized by queue …
Deriving macroscopic fundamental diagrams from probe data: Issues and proposed solutions
Well-defined relationships between flow and density averaged spatially across urban traffic
networks, more commonly known as Macroscopic Fundamental Diagrams (MFDs), have …
networks, more commonly known as Macroscopic Fundamental Diagrams (MFDs), have …
A methodology for identifying critical links and estimating macroscopic fundamental diagram in large-scale urban networks
Abstract The Macroscopic Fundamental Diagram (MFD), which exhibits the relationship
between average flow and average density of an urban network, is a promising framework …
between average flow and average density of an urban network, is a promising framework …