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 …
Expanding the scope of the bicycle level-of-service concept: A review of the literature
Research into the bicycle level-of-service (BLOS) has been extensively conducted over the
last three decades. This research has mostly focused on user perceptions of comfort to …
last three decades. This research has mostly focused on user perceptions of comfort to …
Exploiting the fundamental diagram of urban networks for feedback-based gating
Traffic signal control for urban road networks has been an area of intensive research efforts
for several decades, and various algorithms and tools have been developed and …
for several decades, and various algorithms and tools have been developed and …
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 …
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 …
On the stochastic fundamental diagram for freeway traffic: Model development, analytical properties, validation, and extensive applications
In this research, we apply a new calibration approach to generate stochastic traffic flow
fundamental diagrams. We first prove that the percentile based fundamental diagrams are …
fundamental diagrams. We first prove that the percentile based fundamental diagrams are …
[HTML][HTML] Hybrid perimeter control with real-time partitions in heterogeneous urban networks: An integration of deep learning and MPC
Network-wide perimeter control strategies have been shown promise in recent years. These
perimeter control strategies are mostly based on networks with fixed boundaries. However …
perimeter control strategies are mostly based on networks with fixed boundaries. However …
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 …
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 …
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 …