Two-Lane Highway Capacity Estimation Based on Geometric Features
The majority of roads in most countries are two-lane highways. These lanes quickly reach their capacity and must be upgraded on a regular basis. To do so, we must first determine the capacity of the street. The primary objective of this study was to determine the effect of carriageway width, the rad...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Sciendo
2023-06-01
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| Series: | Civil and Environmental Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/cee-2023-0017 |
| _version_ | 1797659609717014528 |
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| author | Vijay B. G. Al-Mansour Abdullah Lee Kang-Won Wayne |
| author_facet | Vijay B. G. Al-Mansour Abdullah Lee Kang-Won Wayne |
| author_sort | Vijay B. G. |
| collection | DOAJ |
| description | The majority of roads in most countries are two-lane highways. These lanes quickly reach their capacity and must be upgraded on a regular basis. To do so, we must first determine the capacity of the street. The primary objective of this study was to determine the effect of carriageway width, the radius of the horizontal curve, and gradients on Passenger Car Unit (PCU) values as well as on capacity of two-lane undivided Highways, and more importantly, to develop a multiple linear regression model to determine the capacity of the highway when all of these factors are present, which has not been previously reported. Green shield’s model was used to estimate the capacity of each element for all thirty-six sections using flow and speed data. Different models were built using regression analysis to estimate capacity independently, and the combined model was developed as a result. It has been noted that with proportionate increases in carriageway width and radius of the curve, there is an equivalent rise in PCU values and highway capacity, providing improved comfort and safety to road users. It was also discovered that when the value of the gradient increases cause increase in PCU values but the highway capacity decreases, thereby increasing the vehicle operating cost. Where all of these characteristics are present simultaneously in a section, the resulting multiple linear regression model was proven to be appropriate. It is believed to be valuable to practitioners as well as in the development or revision of Indian highway capacity manuals. |
| first_indexed | 2024-03-11T18:16:39Z |
| format | Article |
| id | doaj.art-e47c2920b845447ca1ed523d4dd027ed |
| institution | Directory Open Access Journal |
| issn | 2199-6512 |
| language | English |
| last_indexed | 2024-03-11T18:16:39Z |
| publishDate | 2023-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Civil and Environmental Engineering |
| spelling | doaj.art-e47c2920b845447ca1ed523d4dd027ed2023-10-16T06:07:32ZengSciendoCivil and Environmental Engineering2199-65122023-06-0119119020510.2478/cee-2023-0017Two-Lane Highway Capacity Estimation Based on Geometric FeaturesVijay B. G.0Al-Mansour Abdullah1Lee Kang-Won Wayne21Faculty in Department of Urban Transport Planning and Management, Ethiopian Civil Service University, Addis Ababa, Ethiopia.2King Saud University, 14321Riyadh, Saudi Arabia.3University of Rhode Island, Kingston, RI, 02881, USA.The majority of roads in most countries are two-lane highways. These lanes quickly reach their capacity and must be upgraded on a regular basis. To do so, we must first determine the capacity of the street. The primary objective of this study was to determine the effect of carriageway width, the radius of the horizontal curve, and gradients on Passenger Car Unit (PCU) values as well as on capacity of two-lane undivided Highways, and more importantly, to develop a multiple linear regression model to determine the capacity of the highway when all of these factors are present, which has not been previously reported. Green shield’s model was used to estimate the capacity of each element for all thirty-six sections using flow and speed data. Different models were built using regression analysis to estimate capacity independently, and the combined model was developed as a result. It has been noted that with proportionate increases in carriageway width and radius of the curve, there is an equivalent rise in PCU values and highway capacity, providing improved comfort and safety to road users. It was also discovered that when the value of the gradient increases cause increase in PCU values but the highway capacity decreases, thereby increasing the vehicle operating cost. Where all of these characteristics are present simultaneously in a section, the resulting multiple linear regression model was proven to be appropriate. It is believed to be valuable to practitioners as well as in the development or revision of Indian highway capacity manuals.https://doi.org/10.2478/cee-2023-0017carriageway widthhorizontal curvepassenger car unithighway capacitymultiple linear equations |
| spellingShingle | Vijay B. G. Al-Mansour Abdullah Lee Kang-Won Wayne Two-Lane Highway Capacity Estimation Based on Geometric Features Civil and Environmental Engineering carriageway width horizontal curve passenger car unit highway capacity multiple linear equations |
| title | Two-Lane Highway Capacity Estimation Based on Geometric Features |
| title_full | Two-Lane Highway Capacity Estimation Based on Geometric Features |
| title_fullStr | Two-Lane Highway Capacity Estimation Based on Geometric Features |
| title_full_unstemmed | Two-Lane Highway Capacity Estimation Based on Geometric Features |
| title_short | Two-Lane Highway Capacity Estimation Based on Geometric Features |
| title_sort | two lane highway capacity estimation based on geometric features |
| topic | carriageway width horizontal curve passenger car unit highway capacity multiple linear equations |
| url | https://doi.org/10.2478/cee-2023-0017 |
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