Macroscopic traffic flow modelling of large-scale freeway networks with field data verification: State-of-the-art review, benchmarking framework, and case studies using …
Y Wang, X Yu, J Guo, I Papamichail… - … Research Part C …, 2022 - Elsevier
Macroscopic traffic flow models are of paramount importance to traffic surveillance and
control. Before their employments in applications, the models need to be calibrated and …
control. Before their employments in applications, the models need to be calibrated and …
Microscopic traffic modeling inside intersections: Interactions between drivers
Microscopic traffic flow models enable predictions of traffic operations, which allows traffic
engineers to assess the efficiency and safety effects of roadway designs. Modeling vehicle …
engineers to assess the efficiency and safety effects of roadway designs. Modeling vehicle …
[HTML][HTML] Comprehensive review of traffic modeling: towards autonomous vehicles
Ł Łach, D Svyetlichnyy - Applied Sciences, 2024 - mdpi.com
Autonomous vehicles (AVs) have the potential to revolutionize transportation by offering
safer, more efficient, and convenient mobility solutions. As AV technology advances, there is …
safer, more efficient, and convenient mobility solutions. As AV technology advances, there is …
Extending ramp metering control to mixed autonomy traffic flow with varying degrees of automation
The emergence of automated vehicles may have significant impacts on traffic flow. While
many studies suggest that fully automated vehicles can improve traffic flow by changing their …
many studies suggest that fully automated vehicles can improve traffic flow by changing their …
[CARTE][B] Traffic congestion control by PDE backstep**
This book explores the development of PDE (partial differential equation) backstep**
controllers for the suppression of stop-and-go instabilities and oscillations in congested …
controllers for the suppression of stop-and-go instabilities and oscillations in congested …
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 …
Feedback-based ramp metering and lane-changing control with connected and automated vehicles
Aiming at operating effectively future traffic systems, we propose here a novel methodology
for integrated lane-changing and ramp metering control that exploits the presence of …
for integrated lane-changing and ramp metering control that exploits the presence of …
Optimal internal boundary control of lane-free automated vehicle traffic
A recently proposed paradigm for vehicular traffic in the era of CAV (connected and
automated vehicles), called TrafficFluid, involves lane-free vehicle movement. Lane-free …
automated vehicles), called TrafficFluid, involves lane-free vehicle movement. Lane-free …
Internal boundary control in lane-free automated vehicle traffic: Comparison of approaches via microscopic simulation
The recently introduced TrafficFluid concept proposes that automated vehicles drive lane-
free, thus enabling capacity sharing between the two opposite road directions via real-time …
free, thus enabling capacity sharing between the two opposite road directions via real-time …
Performance of continuum models for realworld traffic flows: Comprehensive benchmarking
Numerous continuum models have been proposed for freeway traffic, but their performance
for real-world traffic flows has not been rigorously evaluated and compared in the literature …
for real-world traffic flows has not been rigorously evaluated and compared in the literature …