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 …
Optimal perimeter control for two urban regions with macroscopic fundamental diagrams: A model predictive approach
N Geroliminis, J Haddad… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Recent analysis of empirical data from cities showed that a macroscopic fundamental
diagram (MFD) of urban traffic provides for homogenous network regions a unimodal low …
diagram (MFD) of urban traffic provides for homogenous network regions a unimodal 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 …
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 …
Properties of a well-defined macroscopic fundamental diagram for urban traffic
N Geroliminis, J Sun - Transportation Research Part B: Methodological, 2011 - Elsevier
A field experiment in Yokohama (Japan) revealed that a macroscopic fundamental diagram
(MFD) linking space-mean flow, density and speed exists on a large urban area. It was …
(MFD) linking space-mean flow, density and speed exists on a large urban area. It was …
A survey of traffic control with vehicular communications
L Li, D Wen, D Yao - IEEE Transactions on Intelligent …, 2013 - ieeexplore.ieee.org
During the last 60 years, incessant efforts have been made to improve the efficiency of traffic
control systems to meet ever-increasing traffic demands. Some recent works attempt to …
control systems to meet ever-increasing traffic demands. Some recent works attempt to …
Clustering of heterogeneous networks with directional flows based on “Snake” similarities
M Saeedmanesh, N Geroliminis - Transportation Research Part B …, 2016 - Elsevier
Aggregated network level modeling and control of traffic in urban networks have recently
gained a lot of interest due to unpredictability of travel behaviors and high complexity of …
gained a lot of interest due to unpredictability of travel behaviors and high complexity of …
Urban network gridlock: Theory, characteristics, and dynamics
This study explores the limiting properties of network-wide traffic flow relations under heavily
congested conditions in a large-scale complex urban street network; these limiting …
congested conditions in a large-scale complex urban street network; these limiting …
Dynamic clustering and propagation of congestion in heterogeneously congested urban traffic networks
M Saeedmanesh, N Geroliminis - Transportation research procedia, 2017 - Elsevier
The problem of clustering in urban traffic networks has been mainly studied in static
framework by considering traffic conditions at a given time. Nevertheless, it is important to …
framework by considering traffic conditions at a given time. Nevertheless, it is important to …
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 …