A methodology for probabilistic pavement condition forecast based on Bayesian filters-Reference-Cited by-同舟云学术

A methodology for probabilistic pavement condition forecast based on Bayesian filters

Published:2022-06-07 Issue: Volume: Page:1-14
ISSN:1573-2479
Container-title:Structure and Infrastructure Engineering
language:en
Short-container-title:Structure and Infrastructure Engineering

Author:

Blumenfeld Tim¹^ORCID,Elvarsson Arnór²^ORCID,Hajdin Rade³^ORCID,Schiffmann Frank¹^ORCID,Christopher Grund⁴^ORCID,Balck Henning⁴^ORCID

Affiliation:

1. Infrastructure Management Consultants GmbH, Mannheim, Germany

2. Institute for Construction and Infrastructure Management, ETH Zürich, Zurich, Switzerland

3. Infrastructure Management Consultants GmbH, Zurich, Switzerland

4. Heller Ingenieurgesellschaft mbH, Darmstadt, Germany

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Ocean Engineering,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15732479.2022.2077769

Reference48 articles.

1. Blumenfeld, T. (2019, October 6–10). Analysis on measured condition improvements with regard to the effect of maintenance treatments and the precision of measuring methods [Paper presentation]. 26th World Road Congress, Abu Dhabi, United Arabian Emirates.

2. Blumenfeld, T. (2020). Analyse und Prognose von Straßenzustandsdaten mit Hilfe von probabilistischen Methoden und der Strukturgleichungsmodellierung [Analysis and prediction of road condition data by using probabilistic approaches and structural equation models]. [Doctoral dissertation, Road and Pavement Engineering, Technical University Darmstadt]. ULB Darmstadt. doi:10.25534/tuprints-00013279

3. Blumenfeld, T., Elvarsson, A., Schiffmann, F., Grund, C., Kempf, D., Balck, H. … Hajdin, R. (2021). Multi-kriterielle probabilistische Prognose der Zustandsentwicklung ProZEnt [Multi-criteria probabilistic forecast of condition development]. [Project Report Verkehrsinfrastrukturforschung 2018]. Österreichische Forschungsförderungsgesellschaft mbH (FFG). Vienna, Austria.

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