Investigation of stochastic variation of parameters for a macroscopic traffic model-Reference-Cited by-同舟云学术

Investigation of stochastic variation of parameters for a macroscopic traffic model

Published:2018-04-16 Issue:6 Volume:22 Page:547-564
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Thonhofer Elvira¹,Jakubek Stefan¹

Affiliation:

1. Institute of Mechanics and Mechatronics, TU Wien, Getreidemarkt 9/E325, 1060 Vienna, Austria

Funder

Wirtschaftsagentur Wien

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2018.1444485

Reference43 articles.

1. Data Fusion-Based Traffic Density Estimation and Prediction

2. Phase transition model of non-stationary traffic flow: Definition, properties and solution method

3. A compositional stochastic model for real time freeway traffic simulation

4. Application of advanced sampling for efficient probabilistic traffic modelling

5. Vehicle Specific Behaviour in Macroscopic Traffic Modelling through Stochastic Advection Invariant

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