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 …
First-order traffic flow models incorporating capacity drop: Overview and real-data validation
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 …
Optimal freeway ramp metering using the asymmetric cell transmission model
G Gomes, R Horowitz - Transportation Research Part C: Emerging …, 2006 - Elsevier
The onramp metering control problem is posed using a cell transmission-like model called
the asymmetric cell transmission model (ACTM). The problem formulation captures both …
the asymmetric cell transmission model (ACTM). The problem formulation captures both …
Lax–Hopf based incorporation of internal boundary conditions into Hamilton–Jacobi equation. Part I: Theory
This article proposes a new approach for computing a semi-explicit form of the solution to a
class of Hamilton-Jacobi (HJ) partial differential equations (PDEs), using control techniques …
class of Hamilton-Jacobi (HJ) partial differential equations (PDEs), using control techniques …
Behavior of the cell transmission model and effectiveness of ramp metering
G Gomes, R Horowitz, AA Kurzhanskiy… - … Research Part C …, 2008 - Elsevier
The paper characterizes the behavior of the cell transmission model of a freeway, divided
into N sections or cells, each with one on-ramp and one off-ramp. The state of the dynamical …
into N sections or cells, each with one on-ramp and one off-ramp. The state of the dynamical …
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 …
Analytical and grid-free solutions to the Lighthill–Whitham–Richards traffic flow model
In this article, we propose a computational method for solving the Lighthill–Whitham–
Richards (LWR) partial differential equation (PDE) semi-analytically for arbitrary piecewise …
Richards (LWR) partial differential equation (PDE) semi-analytically for arbitrary piecewise …
Integrated control for mixed CAV and CV traffic flow in expressway merge zones combined with variable speed limit, ramp metering, and lane changing
Y Di, W Zhang, H Ding, X Zheng… - Journal of transportation …, 2023 - ascelibrary.org
In the conventional human driving environment, due to poor traffic information transmission
and the inability to actively control vehicles, variable speed limits (VSLs) and ramp metering …
and the inability to actively control vehicles, variable speed limits (VSLs) and ramp metering …
Extension of traffic flow pattern dynamic classification by a macroscopic model using multivariate clustering
HB Celikoglu, MA Silgu - Transportation Science, 2016 - pubsonline.informs.org
In this paper, we evaluate the performance of a dynamic approach to classifying flow
patterns reconstructed by a switching-mode macroscopic flow model considering a …
patterns reconstructed by a switching-mode macroscopic flow model considering a …
Piecewise-linearized cell transmission model and parameter calibration methodology
This paper studies the development of macroscopic freeway traffic models and parameter
calibration methodologies that are computationally efficient and suitable for use in real-time …
calibration methodologies that are computationally efficient and suitable for use in real-time …