Traffic state estimation on highway: A comprehensive survey
Traffic state estimation (TSE) refers to the process of the inference of traffic state variables
(ie, flow, density, speed and other equivalent variables) on road segments using partially …
(ie, flow, density, speed and other equivalent variables) on road segments using partially …
Introduction to traffic flow theory: An introduction with exercises
V Knoop - 2017 - research.tudelft.nl
Traffic processes cause several problems in the world. Traffic delay, pollution are some of it.
They can be solved with the right road design or traffic management (control) measure …
They can be solved with the right road design or traffic management (control) measure …
[PDF][PDF] Multi-class continuum traffic flow models: Analysis and simulation methods
F van Wageningen-Kessels - Delft University of Technology, 2013 - homepage.tudelft.nl
Traffic flow models are used to describe and predict traffic on roads. For example, they
model the number of vehicles, their velocity, their acceleration and the distance and time …
model the number of vehicles, their velocity, their acceleration and the distance and time …
Real time traffic models, decision support for traffic management
L Wismans, E De Romph, K Friso, K Zantema - Procedia Environmental …, 2014 - Elsevier
Reliable and accurate short-term traffic state prediction can improve the performance of real-
time traffic management systems significantly. Using this short-time prediction based on …
time traffic management systems significantly. Using this short-time prediction based on …
A flexible traffic stream model and its three representations of traffic flow
To connect microscopic driving behaviors with the macro-correspondence (ie, the
fundamental diagram), this study proposes a flexible traffic stream model, which is derived …
fundamental diagram), this study proposes a flexible traffic stream model, which is derived …
Particle filter–based data assimilation in dynamic data-driven simulation: sensitivity analysis of three critical experimental conditions
Data assimilation (DA) is a methodology widely used by different disciplines of science and
engineering. It is typically applied to continuous systems with numerical models. The …
engineering. It is typically applied to continuous systems with numerical models. The …
[PDF][PDF] Generic model predictive control framework for advanced driver assistance systems
M Wang - 2014 - researchgate.net
At the very first PhD progress meeting I had with my supervisors, Serge Hoogendoorn
recommended two books to me, Optimal Control (FL Lewis) and Dynamic Noncoopertive …
recommended two books to me, Optimal Control (FL Lewis) and Dynamic Noncoopertive …
[PDF][PDF] Extended Urban Traffic State Estimation Using Different Sensor Strategies
ABSTRACT 1 Urban traffic state estimation usually describes flow, density and speed.
However, urban traffic is 2 characterized by many factors that cannot be adequately and …
However, urban traffic is 2 characterized by many factors that cannot be adequately and …
[图书][B] Vehicle-class specific control of freeway traffic
T Schreiter, JWC Van Lint, SP Hoogendoorn - 2013 - Citeseer
After I had finished my diploma thesis in computer science in 2008, I had absolutely no intent
to stay in academia and spend days sitting in front of a computer to solve abstract problems …
to stay in academia and spend days sitting in front of a computer to solve abstract problems …
A particle filter-based data assimilation framework for discrete event simulations
X Xie, A Verbraeck - Simulation, 2019 - journals.sagepub.com
With the advent of new sensor technologies and communication solutions, the availability of
data for discrete event systems has greatly increased. This motivates research on data …
data for discrete event systems has greatly increased. This motivates research on data …