prikaz prve stranice dokumenta Comparison of Single-Lane Roundabout Entry Degree of Saturation Estimations from Analytical and Regression Models
  Download
PDF 5.68 MB
Scientific paper - Original scientific paper
Comparison of Single-Lane Roundabout Entry Degree of Saturation Estimations from Analytical and Regression Models
Algorithms, 16 (2023), 3; 164. https://doi.org/10.3390/a16030164
Čudina Ivančev, Ana; Ahac, Maja; Ahac, Saša; Dragčević, Vesna

Institutional repository: Repository of the Faculty of Civil Engineering, University of Zagreb

Cite this document

Čudina Ivančev, A., Ahac, M., Ahac, S. & Dragčević, V. (2023). Comparison of Single-Lane Roundabout Entry Degree of Saturation Estimations from Analytical and Regression Models. Algorithms, 16. (3). doi: 10.3390/a16030164

Čudina Ivančev, Ana, et al. "Comparison of Single-Lane Roundabout Entry Degree of Saturation Estimations from Analytical and Regression Models." Algorithms, vol. 16, no. 3, 2023. https://doi.org/10.3390/a16030164

Čudina Ivančev, Ana, Maja Ahac, Saša Ahac and Vesna Dragčević. "Comparison of Single-Lane Roundabout Entry Degree of Saturation Estimations from Analytical and Regression Models." Algorithms 16, no. 3 (2023). https://doi.org/10.3390/a16030164

Čudina Ivančev, A., et al. (2023) 'Comparison of Single-Lane Roundabout Entry Degree of Saturation Estimations from Analytical and Regression Models', Algorithms, 16(3). doi: 10.3390/a16030164

Čudina Ivančev A, Ahac M, Ahac S, Dragčević V. Comparison of Single-Lane Roundabout Entry Degree of Saturation Estimations from Analytical and Regression Models. Algorithms [Internet]. 2023 March 18 [cited 2024 July 17];16(3). doi: 10.3390/a16030164

A. Čudina Ivančev, M. Ahac, S. Ahac and V. Dragčević, "Comparison of Single-Lane Roundabout Entry Degree of Saturation Estimations from Analytical and Regression Models", Algorithms, vol. 16, no. 3, March 2023. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:237:399567. [Accessed: 17 July 2024]

Metadata
Title (english)Comparison of Single-Lane Roundabout Entry Degree of Saturation Estimations from Analytical and Regression Models
AuthorAna Čudina Ivančev
AuthorMaja Ahac
AuthorSaša Ahac
AuthorVesna Dragčević
Author's institutionUniversity of Zagreb
Faculty of Civil Engineering
(Transportation Engineering)
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Civil Engineering
Transportation
Abstract (english)
Roundabout design is an iterative process consisting of a preliminary geometry design, geometry performance checks, and the estimation of intersection functionality (based on the results of analytical or regression models). Since both roundabout geometry design procedures and traffic characteristics vary around the world, the discussion on which functionality estimation model is more appropriate is ongoing. This research aims to reduce the uncertainty in decision-making during this final roundabout design stage. Its two objectives were to analyze and compare the results of roundabout performance estimations derived from one analytical and one regression model, and to quantify the model results’ susceptibility to changes in roundabout geometric parameters. For this, 60 four-legged single-lane roundabout schemes were created, varying in size and leg alignment. Their geometric parameters resulted from the assumption of their location in a suburban environment and chosen design vehicle swept path analysis. To compare the models’ results, the degree of saturation of roundabout entries was calculated based on presumed traffic flows. The results showed that the regression model estimates higher functionality and that this difference (both between the two models and regression models applied on different schemes) is more pronounced as the outer radius and angle between the legs increase.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleAlgorithms
Numberingvol. 16, no. 3, 164
p-ISSN1999-4893
DOIhttps://doi.org/10.3390/a16030164
URN:NBNurn:nbn:hr:237:399567
Publication2023-03-18
Document URLhttps://www.mdpi.com/1999-4893/16/3/164
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-07-11 05:36:43