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These findings reveal pervasive connections between macroscopic traffic flow models and mesoscopic headway distribution.
Our approach is based on macroscopic traffic flow models, and more precisely on the flow-density relationship.
Traditional queue discharge models are either microscopic or stochastic, and macroscopic traffic flow models for signalized intersections are based on overly simplistic assumptions.
First, a general stochastic macroscopic traffic flow model of freeway stretches is presented, while some simple formulae are proposed to model real-time traffic measurements.
While constructing the traffic state estimator, special attention is paid to the handling of the boundary conditions and unknown parameters of the macroscopic traffic flow model.
In this paper, we discuss a general approach to the macroscopic traffic flow propagation stability for adaptive cruise controlled (ACC) vehicles.
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This paper is concerned with the problem of macroscopic road traffic flow model calibration and verification.
RENAISSANCE is designed on the basis of stochastic macroscopic freeway network traffic flow modeling, extended Kalman filtering, and a number of traffic surveillance algorithms.
The macroscopic motorway network traffic flow model of RENAISSANCE is introduced first, followed by a description of the various traffic surveillance tasks addressed by RENAISSANCE along with the functional architecture of the tool.
The paper first introduces the utilized stochastic macroscopic freeway network traffic flow model and a real-time traffic measurement model, upon which the complete dynamic system model of RENAISSANCE is established with special attention to the handling of some important model parameters.
A hybrid approach combining both macroscopic and microscopic traffic flow models is used in our highway mobility model.
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macroscopic laminar flow
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macroscopic fluid flow
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macroscopic traffic model
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