[HTML][HTML] Applications of deep learning in congestion detection, prediction and alleviation: A survey
Detecting, predicting, and alleviating traffic congestion are targeted at improving the level of
service of the transportation network. With increasing access to larger datasets of higher …
service of the transportation network. With increasing access to larger datasets of higher …
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 …
Constructing a fundamental diagram for traffic flow with automated vehicles: Methodology and demonstration
Increasingly, commercial vehicles are equipped with automated vehicle (AV) features such
as adaptive cruise control systems. The AV feature can automatically control the headway …
as adaptive cruise control systems. The AV feature can automatically control the headway …
[HTML][HTML] Variable speed limit: A microscopic analysis in a connected vehicle environment
B Khondaker, L Kattan - Transportation Research Part C: Emerging …, 2015 - Elsevier
This paper presents a Variable Speed Limit (VSL) control algorithm for simultaneously
maximizing the mobility, safety and environmental benefit in a Connected Vehicle …
maximizing the mobility, safety and environmental benefit in a Connected Vehicle …
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 …
Optimal perimeter control for two urban regions with macroscopic fundamental diagrams: A model predictive approach
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 …
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 …
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 …
Cooperative traffic control of a mixed network with two urban regions and a freeway
Currently most optimization methods for urban transport networks (i) are suited for networks
with simplified dynamics that are far from real-sized networks or (ii) apply decentralized …
with simplified dynamics that are far from real-sized networks or (ii) apply decentralized …
On the fundamental diagram for freeway traffic: A novel calibration approach for single-regime models
The speed-density or flow-density relationship has been considered as the foundation of
traffic flow theory. Existing single-regime models calibrated by the least square method …
traffic flow theory. Existing single-regime models calibrated by the least square method …