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Highway capacity prediction in adverse weather

The purpose of this study was to find out the effects of rainfall on traffic flow rates and the implications on highway capacities. Data was generated from a pneumatic tube detector placed on a 2 km straight section of a principal road that was operating in the free flow regime. This is with a view...

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Main Authors: Alhassan, Hashim Mohammed, Ben Edigbe, Johnnie
Format: Article
Language:English
Published: Asian Network for Scientific Information 2011
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/29137/1/HashimMohammedAlhassan2011_HighwayCapacityPredictionInAdverseWeather.pdf
http://eprints.utm.my/id/eprint/29137/
http://dx.doi.org/10.3923/jas.2011.2193.2199
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spelling my.utm.291372019-03-17T03:02:59Z http://eprints.utm.my/id/eprint/29137/ Highway capacity prediction in adverse weather Alhassan, Hashim Mohammed Ben Edigbe, Johnnie TA Engineering (General). Civil engineering (General) The purpose of this study was to find out the effects of rainfall on traffic flow rates and the implications on highway capacities. Data was generated from a pneumatic tube detector placed on a 2 km straight section of a principal road that was operating in the free flow regime. This is with a view to isolating all bottlenecks and incidences that could affect traffic flows and to see the direct effect of the rainfall on traffic. Data from nearby rain gauge station was used to identify dry and wet traffic flow conditions. Empirical evidence exists for traffic flow contraction, speed reduction and increase in density. A speed reduction of 3.52% resulted in a flow rate change of 8.64% under rainfall conditions. Furthermore, the fundamental diagram was used to predict the capacity flows in both dry and wet conditions. A 42.27% loss of capacity was obtained at critical densities of 186.82 and 111.97 vehs km -1 for both dry and wet conditions respectively. It is concluded that adverse weather can seriously degrade the capacities of highways. At higher flow rates, the instabilities that could result from adverse weather effects can cause prolong delays to drivers with its attendant economic losses. Rainfall intensity variation should be investigated to determine capacity loss thresholds at which resources can be placed to manage traffic in adverse weather. Asian Network for Scientific Information 2011 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/29137/1/HashimMohammedAlhassan2011_HighwayCapacityPredictionInAdverseWeather.pdf Alhassan, Hashim Mohammed and Ben Edigbe, Johnnie (2011) Highway capacity prediction in adverse weather. Journal of Applied Sciences, 11 (12). pp. 2193-2199. ISSN 1812-5654 http://dx.doi.org/10.3923/jas.2011.2193.2199 DOI:10.3923/jas.2011.2193.2199
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Alhassan, Hashim Mohammed
Ben Edigbe, Johnnie
Highway capacity prediction in adverse weather
description The purpose of this study was to find out the effects of rainfall on traffic flow rates and the implications on highway capacities. Data was generated from a pneumatic tube detector placed on a 2 km straight section of a principal road that was operating in the free flow regime. This is with a view to isolating all bottlenecks and incidences that could affect traffic flows and to see the direct effect of the rainfall on traffic. Data from nearby rain gauge station was used to identify dry and wet traffic flow conditions. Empirical evidence exists for traffic flow contraction, speed reduction and increase in density. A speed reduction of 3.52% resulted in a flow rate change of 8.64% under rainfall conditions. Furthermore, the fundamental diagram was used to predict the capacity flows in both dry and wet conditions. A 42.27% loss of capacity was obtained at critical densities of 186.82 and 111.97 vehs km -1 for both dry and wet conditions respectively. It is concluded that adverse weather can seriously degrade the capacities of highways. At higher flow rates, the instabilities that could result from adverse weather effects can cause prolong delays to drivers with its attendant economic losses. Rainfall intensity variation should be investigated to determine capacity loss thresholds at which resources can be placed to manage traffic in adverse weather.
format Article
author Alhassan, Hashim Mohammed
Ben Edigbe, Johnnie
author_facet Alhassan, Hashim Mohammed
Ben Edigbe, Johnnie
author_sort Alhassan, Hashim Mohammed
title Highway capacity prediction in adverse weather
title_short Highway capacity prediction in adverse weather
title_full Highway capacity prediction in adverse weather
title_fullStr Highway capacity prediction in adverse weather
title_full_unstemmed Highway capacity prediction in adverse weather
title_sort highway capacity prediction in adverse weather
publisher Asian Network for Scientific Information
publishDate 2011
url http://eprints.utm.my/id/eprint/29137/1/HashimMohammedAlhassan2011_HighwayCapacityPredictionInAdverseWeather.pdf
http://eprints.utm.my/id/eprint/29137/
http://dx.doi.org/10.3923/jas.2011.2193.2199
_version_ 1643648232628158464
score 13.211869

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