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Comparison of Single-Lane Roundabout Entry Degree of Saturation Estimations from Analytical and Regression Models (CROSBI ID 323866)

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Čudina Ivančev, Ana ; Ahac, Maja ; Ahac, Saša ; Dragčević, Vesna Comparison of Single-Lane Roundabout Entry Degree of Saturation Estimations from Analytical and Regression Models // Algorithms, 16 (2023), 3; 164, 17. doi: 10.3390/a16030164

Podaci o odgovornosti

Čudina Ivančev, Ana ; Ahac, Maja ; Ahac, Saša ; Dragčević, Vesna

engleski

Comparison of Single-Lane Roundabout Entry Degree of Saturation Estimations from Analytical and Regression Models

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.

suburban roundabout design ; swept path analysis ; geometric parameters ; performance estimation ; capacity assessment

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Podaci o izdanju

16 (3)

2023.

164

17

objavljeno

1999-4893

10.3390/a16030164

Trošak objave rada u otvorenom pristupu

Povezanost rada

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