A road capacity assessment study

Transport planners often encounter difficulties in the estimation of capacity for minor roads due to the lack of standard approaches to be applied. This study aims to promote the design and planning of sustainable traffic facilities with the development of models for capacity estimation of minor roa...

Full description

Bibliographic Details
Main Author: Lum, Li Kai
Format: Final Year Project / Dissertation / Thesis
Published: 2023
Subjects:
Online Access:http://eprints.utar.edu.my/5601/
http://eprints.utar.edu.my/5601/1/1801744_FYP_Report_%2D_LI_KAI_LUM.pdf
_version_ 1848886456699846656
author Lum, Li Kai
author_facet Lum, Li Kai
author_sort Lum, Li Kai
building UTAR Institutional Repository
collection Online Access
description Transport planners often encounter difficulties in the estimation of capacity for minor roads due to the lack of standard approaches to be applied. This study aims to promote the design and planning of sustainable traffic facilities with the development of models for capacity estimation of minor roads and the identification of factors affecting traffic flow and capacity. A total of thirty sites that are minor roads from Bandar Sungai Long, Bandar Mahkota Cheras and Maluri are selected for traffic data collection during AM peak hour of 8 am to 9 am. Fundamental Diagram approach and multiple linear regression analysis are adopted as the analysis methods. The result shows that the capacity model developed is significant in estimating the capacity of minor roads with the type of road, type of carriageway, and speed limit as the statistically significant predictor variables. The traffic density, average travel speed, type of road, and type of carriageway are the factors that may impact the traffic flow on the roads. The basic factors affecting the road capacity of minor roads are: type of road, type of carriageway, and speed limit. It is also discovered that the type of carriageway is the key factor that has the greatest impact on the capacity of minor roads, followed by the type of road and the speed limit.
first_indexed 2025-11-15T19:38:47Z
format Final Year Project / Dissertation / Thesis
id utar-5601
institution Universiti Tunku Abdul Rahman
institution_category Local University
last_indexed 2025-11-15T19:38:47Z
publishDate 2023
recordtype eprints
repository_type Digital Repository
spelling utar-56012023-07-05T14:06:59Z A road capacity assessment study Lum, Li Kai TA Engineering (General). Civil engineering (General) Transport planners often encounter difficulties in the estimation of capacity for minor roads due to the lack of standard approaches to be applied. This study aims to promote the design and planning of sustainable traffic facilities with the development of models for capacity estimation of minor roads and the identification of factors affecting traffic flow and capacity. A total of thirty sites that are minor roads from Bandar Sungai Long, Bandar Mahkota Cheras and Maluri are selected for traffic data collection during AM peak hour of 8 am to 9 am. Fundamental Diagram approach and multiple linear regression analysis are adopted as the analysis methods. The result shows that the capacity model developed is significant in estimating the capacity of minor roads with the type of road, type of carriageway, and speed limit as the statistically significant predictor variables. The traffic density, average travel speed, type of road, and type of carriageway are the factors that may impact the traffic flow on the roads. The basic factors affecting the road capacity of minor roads are: type of road, type of carriageway, and speed limit. It is also discovered that the type of carriageway is the key factor that has the greatest impact on the capacity of minor roads, followed by the type of road and the speed limit. 2023 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/5601/1/1801744_FYP_Report_%2D_LI_KAI_LUM.pdf Lum, Li Kai (2023) A road capacity assessment study. Final Year Project, UTAR. http://eprints.utar.edu.my/5601/
spellingShingle TA Engineering (General). Civil engineering (General)
Lum, Li Kai
A road capacity assessment study
title A road capacity assessment study
title_full A road capacity assessment study
title_fullStr A road capacity assessment study
title_full_unstemmed A road capacity assessment study
title_short A road capacity assessment study
title_sort road capacity assessment study
topic TA Engineering (General). Civil engineering (General)
url http://eprints.utar.edu.my/5601/
http://eprints.utar.edu.my/5601/1/1801744_FYP_Report_%2D_LI_KAI_LUM.pdf