A novel approach to model traffic on road segments of large-scale urban road networks
The study proposes a novel method for modeling traffic volumes at the road segment level of large-scale urban road networks. This study has been placed in a milieu where existing methods on modeling vehicular traffic volume are hampered by data and cost constraints, especially in developing countrie...
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016119301128 |
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doaj-71dd7ecbad4c47ffaa453c29cacce2512020-11-25T01:15:24ZengElsevierMethodsX2215-01612019-01-01611471163A novel approach to model traffic on road segments of large-scale urban road networksAmila Jayasinghe0Kazushi Sano1C. Chethika Abenayake2P.K.S. Mahanama3Department of Town & Country Planning, University of Moratuwa, Moratuwa, 10400, Sri Lanka; Corresponding author.Urban Transport Engineering and Planning Lab, Nagaoka University of Technology, Nagaoka, 940-2137, JapanDepartment of Town & Country Planning, University of Moratuwa, Moratuwa, 10400, Sri LankaDepartment of Town & Country Planning, University of Moratuwa, Moratuwa, 10400, Sri LankaThe study proposes a novel method for modeling traffic volumes at the road segment level of large-scale urban road networks. This study has been placed in a milieu where existing methods on modeling vehicular traffic volume are hampered by data and cost constraints, especially in developing countries. Emerging traffic modeling methods, based on centrality and space syntax provides a technically-efficient approach to overcome the above-mentioned constraints. Nevertheless, those methods are yet to be popular among practitioners due to limited accuracy and validity. This study modifies the existing methods and validates in five case cities to make them practice-ready. Findings of this study indicated that the proposed method is competent enough to estimate traffic volume of road segments on a par with the internationally accepted standards. • The proposed method combines two network centrality measures abstracting the traffic volume on a road segment as the sum of origin-destination trips (i.e., Closeness-Centrality) and pass-by trips (i.e., Betweenness-Centrality). • The study modifies the ‘distance’ variable in the existing formula as 'path-distance' which captures topological and mobility characteristics of roads. • The method does not require extensive data and can be implemented by utilizing publicly available open-source network analysis software, hence, ideal for resource-scarce situations. Method name: Space Syntax, Keywords: Traffic modeling, Centrality, Space syntax, Network analysis, Developing countrieshttp://www.sciencedirect.com/science/article/pii/S2215016119301128 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Amila Jayasinghe Kazushi Sano C. Chethika Abenayake P.K.S. Mahanama |
spellingShingle |
Amila Jayasinghe Kazushi Sano C. Chethika Abenayake P.K.S. Mahanama A novel approach to model traffic on road segments of large-scale urban road networks MethodsX |
author_facet |
Amila Jayasinghe Kazushi Sano C. Chethika Abenayake P.K.S. Mahanama |
author_sort |
Amila Jayasinghe |
title |
A novel approach to model traffic on road segments of large-scale urban road networks |
title_short |
A novel approach to model traffic on road segments of large-scale urban road networks |
title_full |
A novel approach to model traffic on road segments of large-scale urban road networks |
title_fullStr |
A novel approach to model traffic on road segments of large-scale urban road networks |
title_full_unstemmed |
A novel approach to model traffic on road segments of large-scale urban road networks |
title_sort |
novel approach to model traffic on road segments of large-scale urban road networks |
publisher |
Elsevier |
series |
MethodsX |
issn |
2215-0161 |
publishDate |
2019-01-01 |
description |
The study proposes a novel method for modeling traffic volumes at the road segment level of large-scale urban road networks. This study has been placed in a milieu where existing methods on modeling vehicular traffic volume are hampered by data and cost constraints, especially in developing countries. Emerging traffic modeling methods, based on centrality and space syntax provides a technically-efficient approach to overcome the above-mentioned constraints. Nevertheless, those methods are yet to be popular among practitioners due to limited accuracy and validity. This study modifies the existing methods and validates in five case cities to make them practice-ready. Findings of this study indicated that the proposed method is competent enough to estimate traffic volume of road segments on a par with the internationally accepted standards. • The proposed method combines two network centrality measures abstracting the traffic volume on a road segment as the sum of origin-destination trips (i.e., Closeness-Centrality) and pass-by trips (i.e., Betweenness-Centrality). • The study modifies the ‘distance’ variable in the existing formula as 'path-distance' which captures topological and mobility characteristics of roads. • The method does not require extensive data and can be implemented by utilizing publicly available open-source network analysis software, hence, ideal for resource-scarce situations. Method name: Space Syntax, Keywords: Traffic modeling, Centrality, Space syntax, Network analysis, Developing countries |
url |
http://www.sciencedirect.com/science/article/pii/S2215016119301128 |
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