A method to estimate urban work zone intersection capacity under multiple influencing factors
Work zones generate significant congestion in urban centers, yet the influence of various capacity factors in urban arterials and intersections are poorly understood. This paper analyzes the influence of the following factors on urban arterial and intersection work zone capacity from 22 intersection...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2022-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/27/e3sconf_vesep2022_01067.pdf |
| _version_ | 1811178248568045568 |
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| author | Qie Entian Li Ruoyang Li Danna |
| author_facet | Qie Entian Li Ruoyang Li Danna |
| author_sort | Qie Entian |
| collection | DOAJ |
| description | Work zones generate significant congestion in urban centers, yet the influence of various capacity factors in urban arterials and intersections are poorly understood. This paper analyzes the influence of the following factors on urban arterial and intersection work zone capacity from 22 intersections: heavy vehicle flow, heavy vehicle percentage, work zone length, maximum speed limit, entrance lane width, left turn volumes, entrance and exit lane width reductions, and intersection length and width. An urban work zone was modeled using VISSIM simulation software, and regression models were developed based on the reduction coefficients with MATLAB software for fitting analysis. The results show that the proposed model estimated work zone capacity with high accuracy. Urban work zones were found to reduce capacity by 64% in the selected arterial and by 35% in the selected intersection, with corresponding increases in delay and queue length. The model also estimates the capacity improvement that can be expected given various mitigation factors. Transportation agencies may find work zone capacity estimates useful when planning construction in critical urban centers. |
| first_indexed | 2024-04-11T06:16:31Z |
| format | Article |
| id | doaj.art-7100820e13334f5b857915fd4dda27e4 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-04-11T06:16:31Z |
| publishDate | 2022-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-7100820e13334f5b857915fd4dda27e42022-12-22T04:41:03ZengEDP SciencesE3S Web of Conferences2267-12422022-01-013600106710.1051/e3sconf/202236001067e3sconf_vesep2022_01067A method to estimate urban work zone intersection capacity under multiple influencing factorsQie Entian0Li Ruoyang1Li Danna2Qie Entian, Wuhan University of science and technologyLi Ruoyang, Wuhan University of science and technologyLi Dana, Wuhan University of science and technologyWork zones generate significant congestion in urban centers, yet the influence of various capacity factors in urban arterials and intersections are poorly understood. This paper analyzes the influence of the following factors on urban arterial and intersection work zone capacity from 22 intersections: heavy vehicle flow, heavy vehicle percentage, work zone length, maximum speed limit, entrance lane width, left turn volumes, entrance and exit lane width reductions, and intersection length and width. An urban work zone was modeled using VISSIM simulation software, and regression models were developed based on the reduction coefficients with MATLAB software for fitting analysis. The results show that the proposed model estimated work zone capacity with high accuracy. Urban work zones were found to reduce capacity by 64% in the selected arterial and by 35% in the selected intersection, with corresponding increases in delay and queue length. The model also estimates the capacity improvement that can be expected given various mitigation factors. Transportation agencies may find work zone capacity estimates useful when planning construction in critical urban centers.https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/27/e3sconf_vesep2022_01067.pdfwork zonescapacityurban traffic flowcongestion |
| spellingShingle | Qie Entian Li Ruoyang Li Danna A method to estimate urban work zone intersection capacity under multiple influencing factors E3S Web of Conferences work zones capacity urban traffic flow congestion |
| title | A method to estimate urban work zone intersection capacity under multiple influencing factors |
| title_full | A method to estimate urban work zone intersection capacity under multiple influencing factors |
| title_fullStr | A method to estimate urban work zone intersection capacity under multiple influencing factors |
| title_full_unstemmed | A method to estimate urban work zone intersection capacity under multiple influencing factors |
| title_short | A method to estimate urban work zone intersection capacity under multiple influencing factors |
| title_sort | method to estimate urban work zone intersection capacity under multiple influencing factors |
| topic | work zones capacity urban traffic flow congestion |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/27/e3sconf_vesep2022_01067.pdf |
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