Spatial-temporal analysis of road raveling and its correlation with traffic flow characteristics

Z. Wang; P. Krishnakumari; K. Anupam; J. W. C. van Lint; S. M. J. G. Erkens

doi:10.1109/ITSC55140.2022.9922580

Spatial-temporal analysis of road raveling and its correlation with traffic flow characteristics

Z. Wang, P. Krishnakumari, K. Anupam, J. W. C. van Lint, S. M. J. G. Erkens

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

Understanding the relationship between pavement raveling and traffic characteristics is important to pavement management and maintenance planning. In this work, we propose a framework to empirically quantify this relationship. It consists of an alignment method to tackle the inconsistent spatial-temporal scales of the raveling and traffic measurements and we propose spatial-temporal maps to qualitatively analyze and compare the data. A non-parametric correlation is done on the aligned raveling and traffic flow data. This framework is applied to five study areas in the Dutch highway network. The correlation analysis of the study areas provides empirical evidence to a commonly held theory that traffic flow has effects on raveling. Categorizing the correlation by lanes indicates that the raveling is homogeneous in the through or auxiliary lanes, and the severe raveled sections are parallel to the road discontinuity, suggesting the potential effect of mandatory lane changing on raveling development. The proposed framework can be employed in empirical raveling models that predict raveling based on traffic and other factors.

Original language	English
Title of host publication	Proceedings of the 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
Publisher	IEEE
Pages	3609-3616
Number of pages	8
ISBN (Electronic)	978-1-6654-6880-0
ISBN (Print)	978-1-6654-6881-7
DOIs	https://doi.org/10.1109/ITSC55140.2022.9922580
Publication status	Published - 2022
Event	2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) - Macau, China Duration: 8 Oct 2022 → 12 Oct 2022 Conference number: 25th

Conference

Conference	2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
Country/Territory	China
City	Macau
Period	8/10/22 → 12/10/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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Cite this

@inproceedings{1790c9a97a734aea9829c2364a316899,

title = "Spatial-temporal analysis of road raveling and its correlation with traffic flow characteristics",

abstract = "Understanding the relationship between pavement raveling and traffic characteristics is important to pavement management and maintenance planning. In this work, we propose a framework to empirically quantify this relationship. It consists of an alignment method to tackle the inconsistent spatial-temporal scales of the raveling and traffic measurements and we propose spatial-temporal maps to qualitatively analyze and compare the data. A non-parametric correlation is done on the aligned raveling and traffic flow data. This framework is applied to five study areas in the Dutch highway network. The correlation analysis of the study areas provides empirical evidence to a commonly held theory that traffic flow has effects on raveling. Categorizing the correlation by lanes indicates that the raveling is homogeneous in the through or auxiliary lanes, and the severe raveled sections are parallel to the road discontinuity, suggesting the potential effect of mandatory lane changing on raveling development. The proposed framework can be employed in empirical raveling models that predict raveling based on traffic and other factors.",

author = "Z. Wang and P. Krishnakumari and K. Anupam and Lint, {J. W. C. van} and Erkens, {S. M. J. G.}",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) ; Conference date: 08-10-2022 Through 12-10-2022",

year = "2022",

doi = "10.1109/ITSC55140.2022.9922580",

language = "English",

isbn = "978-1-6654-6881-7",

pages = "3609--3616",

booktitle = "Proceedings of the 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)",

publisher = "IEEE",

address = "United States",

}

Wang, Z , Krishnakumari, P , Anupam, K , Lint, JWCV & Erkens, SMJG 2022, Spatial-temporal analysis of road raveling and its correlation with traffic flow characteristics. in Proceedings of the 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE, pp. 3609-3616, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Macau, China, 8/10/22. https://doi.org/10.1109/ITSC55140.2022.9922580

Spatial-temporal analysis of road raveling and its correlation with traffic flow characteristics. / Wang, Z.; Krishnakumari, P.; Anupam, K. et al.
Proceedings of the 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2022. p. 3609-3616.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Wang, Z.

AU - Krishnakumari, P.

AU - Anupam, K.

AU - Lint, J. W. C. van

AU - Erkens, S. M. J. G.

N1 - Conference code: 25th

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N2 - Understanding the relationship between pavement raveling and traffic characteristics is important to pavement management and maintenance planning. In this work, we propose a framework to empirically quantify this relationship. It consists of an alignment method to tackle the inconsistent spatial-temporal scales of the raveling and traffic measurements and we propose spatial-temporal maps to qualitatively analyze and compare the data. A non-parametric correlation is done on the aligned raveling and traffic flow data. This framework is applied to five study areas in the Dutch highway network. The correlation analysis of the study areas provides empirical evidence to a commonly held theory that traffic flow has effects on raveling. Categorizing the correlation by lanes indicates that the raveling is homogeneous in the through or auxiliary lanes, and the severe raveled sections are parallel to the road discontinuity, suggesting the potential effect of mandatory lane changing on raveling development. The proposed framework can be employed in empirical raveling models that predict raveling based on traffic and other factors.

AB - Understanding the relationship between pavement raveling and traffic characteristics is important to pavement management and maintenance planning. In this work, we propose a framework to empirically quantify this relationship. It consists of an alignment method to tackle the inconsistent spatial-temporal scales of the raveling and traffic measurements and we propose spatial-temporal maps to qualitatively analyze and compare the data. A non-parametric correlation is done on the aligned raveling and traffic flow data. This framework is applied to five study areas in the Dutch highway network. The correlation analysis of the study areas provides empirical evidence to a commonly held theory that traffic flow has effects on raveling. Categorizing the correlation by lanes indicates that the raveling is homogeneous in the through or auxiliary lanes, and the severe raveled sections are parallel to the road discontinuity, suggesting the potential effect of mandatory lane changing on raveling development. The proposed framework can be employed in empirical raveling models that predict raveling based on traffic and other factors.

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ER -

Spatial-temporal analysis of road raveling and its correlation with traffic flow characteristics

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