A Theoretical Model for Optimizing Signalized Intersection and Roundabout Distance Using Microsimulations
Traffic congestion in urban areas is a pressing challenge, with roundabouts and signalized intersections offering different operational benefits. This study explores the integration of these two intersection types, focusing on the optimal distance between them to ensure efficient traffic flow. Using...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Future Transportation |
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| Online Access: | https://www.mdpi.com/2673-7590/5/1/28 |
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| author | Mirna Klobučar Aleksandra Deluka-Tibljaš Sanja Šurdonja Irena Ištoka Otković |
| author_facet | Mirna Klobučar Aleksandra Deluka-Tibljaš Sanja Šurdonja Irena Ištoka Otković |
| author_sort | Mirna Klobučar |
| collection | DOAJ |
| description | Traffic congestion in urban areas is a pressing challenge, with roundabouts and signalized intersections offering different operational benefits. This study explores the integration of these two intersection types, focusing on the optimal distance between them to ensure efficient traffic flow. Using traffic microsimulations in VISSIM, the research examines multiple scenarios involving isolated roundabouts and those adjacent to signalized intersections, considering variables such as peak-hour traffic volume, flow distribution, and intersection spacing. Results indicate that shorter distances (<50 m) between roundabouts and signalized intersections lead to increased traffic indicators due to congestion spillback. In contrast, distances exceeding 100 m mitigate these inefficiencies, approaching the performance of isolated roundabouts. Balanced traffic distribution between approaches (50:50) enhance system performance at lower volumes but exacerbate congestion at higher volumes. A novel aspect of this study is the development of a regression model that integrates microsimulation outputs to predict travel time based on peak-hour traffic volume, flow ratios, and intersection distance, demonstrating a 90.9% explanatory power. These findings emphasize the need for strategic planning in integrating roundabouts and signalized intersections to balance operational efficiency. |
| format | Article |
| id | doaj-art-288670b214fa45e78d717d33b2eea48d |
| institution | Kabale University |
| issn | 2673-7590 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Transportation |
| spelling | doaj-art-288670b214fa45e78d717d33b2eea48d2025-08-20T03:43:22ZengMDPI AGFuture Transportation2673-75902025-03-01512810.3390/futuretransp5010028A Theoretical Model for Optimizing Signalized Intersection and Roundabout Distance Using MicrosimulationsMirna Klobučar0Aleksandra Deluka-Tibljaš1Sanja Šurdonja2Irena Ištoka Otković3Faculty of Civil Engineering, University of Rijeka, 51000 Rijeka, CroatiaFaculty of Civil Engineering, University of Rijeka, 51000 Rijeka, CroatiaFaculty of Civil Engineering, University of Rijeka, 51000 Rijeka, CroatiaFaculty of Civil Engineering and Architecture Osijek, Josip Juraj Strossmayer University of Osijek, 3100 Osijek, CroatiaTraffic congestion in urban areas is a pressing challenge, with roundabouts and signalized intersections offering different operational benefits. This study explores the integration of these two intersection types, focusing on the optimal distance between them to ensure efficient traffic flow. Using traffic microsimulations in VISSIM, the research examines multiple scenarios involving isolated roundabouts and those adjacent to signalized intersections, considering variables such as peak-hour traffic volume, flow distribution, and intersection spacing. Results indicate that shorter distances (<50 m) between roundabouts and signalized intersections lead to increased traffic indicators due to congestion spillback. In contrast, distances exceeding 100 m mitigate these inefficiencies, approaching the performance of isolated roundabouts. Balanced traffic distribution between approaches (50:50) enhance system performance at lower volumes but exacerbate congestion at higher volumes. A novel aspect of this study is the development of a regression model that integrates microsimulation outputs to predict travel time based on peak-hour traffic volume, flow ratios, and intersection distance, demonstrating a 90.9% explanatory power. These findings emphasize the need for strategic planning in integrating roundabouts and signalized intersections to balance operational efficiency.https://www.mdpi.com/2673-7590/5/1/28traffic microsimulationroundabout optimizationsignalized intersectionstravel time analysisintersection spacingregression modeling |
| spellingShingle | Mirna Klobučar Aleksandra Deluka-Tibljaš Sanja Šurdonja Irena Ištoka Otković A Theoretical Model for Optimizing Signalized Intersection and Roundabout Distance Using Microsimulations Future Transportation traffic microsimulation roundabout optimization signalized intersections travel time analysis intersection spacing regression modeling |
| title | A Theoretical Model for Optimizing Signalized Intersection and Roundabout Distance Using Microsimulations |
| title_full | A Theoretical Model for Optimizing Signalized Intersection and Roundabout Distance Using Microsimulations |
| title_fullStr | A Theoretical Model for Optimizing Signalized Intersection and Roundabout Distance Using Microsimulations |
| title_full_unstemmed | A Theoretical Model for Optimizing Signalized Intersection and Roundabout Distance Using Microsimulations |
| title_short | A Theoretical Model for Optimizing Signalized Intersection and Roundabout Distance Using Microsimulations |
| title_sort | theoretical model for optimizing signalized intersection and roundabout distance using microsimulations |
| topic | traffic microsimulation roundabout optimization signalized intersections travel time analysis intersection spacing regression modeling |
| url | https://www.mdpi.com/2673-7590/5/1/28 |
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