Freeway traffic control: A survey
Freeway traffic control is a broad research area, not only interesting for its applicative
perspective, but also highly motivating for theoretical investigations. This research topic has …
perspective, but also highly motivating for theoretical investigations. This research topic has …
Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments
Traffic waves are phenomena that emerge when the vehicular density exceeds a critical
threshold. Considering the presence of increasingly automated vehicles in the traffic stream …
threshold. Considering the presence of increasingly automated vehicles in the traffic stream …
First-order traffic flow models incorporating capacity drop: Overview and real-data validation
M Kontorinaki, A Spiliopoulou, C Roncoli… - … Research Part B …, 2017 - Elsevier
First-order traffic flow models of the LWR (Lighthill-Whitham-Richards) type are known for
their simplicity and computational efficiency and have, for this reason, been widely used for …
their simplicity and computational efficiency and have, for this reason, been widely used for …
A new reinforcement learning-based variable speed limit control approach to improve traffic efficiency against freeway jam waves
Conventional reinforcement learning (RL) models of variable speed limit (VSL) control
systems (and traffic control systems in general) cannot be trained in real traffic process …
systems (and traffic control systems in general) cannot be trained in real traffic process …
Hierarchical ramp metering in freeways: An aggregated modeling and control approach
This paper develops a model-based hierarchical control method for coordinated ramp
metering on freeway networks with multiple bottlenecks and on-and off-ramps. The controller …
metering on freeway networks with multiple bottlenecks and on-and off-ramps. The controller …
A linear Lagrangian model predictive controller of macro-and micro-variable speed limits to eliminate freeway jam waves
Variable speed limits (VSLs) are a common traffic control measure to resolve freeway jam
waves. State-of-the-art model predictive control (MPC) approaches of VSLs are developed …
waves. State-of-the-art model predictive control (MPC) approaches of VSLs are developed …
On the estimation of traffic speeds with deep convolutional neural networks given probe data
F Rempe, P Franeck, K Bogenberger - Transportation research part C …, 2022 - Elsevier
Abstract This paper studies Deep Convolutional Neural Networks (DCNNs) for the accurate
estimation of space–time traffic speeds given sparse data on freeways. Several aspects are …
estimation of space–time traffic speeds given sparse data on freeways. Several aspects are …
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 …
[HTML][HTML] Impacts of gradual automated vehicle penetration on motorway operation: a comprehensive evaluation
D Li, P Wagner - European transport research review, 2019 - Springer
Gradual penetration of automated vehicles (AVs) into current motorway systems will usher
the stage of mixed traffic in which AVs will coexist with human driven vehicles. Thus, there is …
the stage of mixed traffic in which AVs will coexist with human driven vehicles. Thus, there is …