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 …
Modeling the fundamental diagram of mixed traffic flow with dedicated lanes for connected automated vehicles
To solve the problems of when to set up connected automated vehicles (CAVs) dedicated
lanes and how many CAVs dedicated lanes to set up under different penetration rates of …
lanes and how many CAVs dedicated lanes to set up under different penetration rates of …
Real-time joint traffic state and model parameter estimation on freeways with fixed sensors and connected vehicles: State-of-the-art overview, methods, and case …
Y Wang, M Zhao, X Yu, Y Hu, P Zheng, W Hua… - … Research Part C …, 2022 - Elsevier
This paper addresses real-time joint traffic state and model parameter estimation on
freeways using data from fixed sensors and connected vehicles. It investigates how the …
freeways using data from fixed sensors and connected vehicles. It investigates how the …
A Gaussian-process-based data-driven traffic flow model and its application in road capacity analysis
To estimate the accurate fundamental relationship in traffic flow, this paper proposes a novel
framework that extends classical fundamental diagram (FD) models to incorporate more …
framework that extends classical fundamental diagram (FD) models to incorporate more …
[HTML][HTML] Integrated self-consistent macro-micro traffic flow modeling and calibration framework based on trajectory data
Calibrating microscopic car-following (CF) models is crucial in traffic flow theory as it allows
for accurate reproduction and investigation of traffic behavior and phenomena. Typically, the …
for accurate reproduction and investigation of traffic behavior and phenomena. Typically, the …
Recognition of pedestrian trajectories and attributes with computer vision and deep learning techniques
Analyzing the walking behavior of the public is vital for revealing the need for infrastructure
design in a local neighborhood, supporting human-centric urban area development …
design in a local neighborhood, supporting human-centric urban area development …
Spatiotemporal trajectory characteristic analysis for traffic state transition prediction near expressway merge bottleneck
Q Wan, G Peng, Z Li, FHT Inomata - Transportation Research Part C …, 2020 - Elsevier
The theoretical analysis of traffic flow with empirical vehicle trajectory data contained within
this study allows for the explanation, reconstruction, and prediction of spatiotemporal …
this study allows for the explanation, reconstruction, and prediction of spatiotemporal …
Integrated macro-micro modelling for individual vehicle trajectory reconstruction using fixed and mobile sensor data
Vehicle trajectories can provide a clear picture of the traffic flow that plays a pivotal role in
traffic management and control. Two types of traffic sensors, ie, fixed and mobile sensors …
traffic management and control. Two types of traffic sensors, ie, fixed and mobile sensors …
An efficient variational Bayesian algorithm for calibrating fundamental diagrams and its probabilistic sensitivity analysis
Fundamental diagrams (FDs) are the basis of traffic flow theory. Efficient model calibration
from noisy traffic data is essential to identify the parameters of FDs to describe the traffic flow …
from noisy traffic data is essential to identify the parameters of FDs to describe the traffic flow …
The contribution of connected vehicles to network traffic control: A hierarchical approach
Connected vehicles (CVs) can considerably contribute to traffic control in the near future by
providing real-time information. Such information can be exploited to identify the current …
providing real-time information. Such information can be exploited to identify the current …