Uncertainty quantification in a macroscopic traffic flow model calibrated on GPS data-Reference-Cited by-同舟云学术

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Uncertainty quantification in a macroscopic traffic flow model calibrated on GPS data

Published:2020 Issue:2 Volume:17 Page:1511-1533
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:en
Short-container-title:

Author:

Bertino Enrico, ,Duvigneau Régis,Goatin Paola,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modelling and Simulation,General Medicine

Reference6 articles.

1. S. E. Jabari, H. X. Liu, A stochastic model of traffic

2. A. Sumalee, R. Zhong, T. Pan, W. Szeto, Stochastic cell transmission model

3. Autoroutes Trafic, accessed: 2019-07-28. Available

4. Escota (VINCI Autoroutes), accessed: 2019-07-28. Available

5. C. F. Daganzo, The cell transmission

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data-driven uncertainty quantification in macroscopic traffic flow models;Advances in Computational Mathematics;2022-11-10

2. A Hand Over and Call Arrival Cellular Signals-based Traffic Density Estimation Method;Companion Proceedings of the Web Conference 2022;2022-04-25

3. Identification Method of Main Road Traffic Congestion Situation in Cold-Climate Cities Based on Potential Energy Theory and GPS Data;Symmetry;2022-01-25

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