2014
DOI: 10.11113/jt.v70.3490
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Impact of Rainfall Condition on Traffic Flow and Speed: A Case Study in Johor and Terengganu

Abstract: This paper explores the impact of various rainfall conditions on traffic flow and speed at selected location in Terengganu and Johor using data collected on two-lane highway. The study aims to quantify the effect of rainfall on average volume, capacity, mean speed, free-flow speed and speed at capacity. This study is important to come out with recommendation for managing traffic under rainfall condition. Traffic data were generated using automatic traffic counters for about three months during the monsoon seas… Show more

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Cited by 17 publications
(10 citation statements)
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“…Meanwhile, the results of the study case [23] in Johor and Terengganu, Malaysia, illustrated that the rainfall would have impacts on traffic flow and speed, but average traffic volume.…”
Section: Literature Reviewmentioning
confidence: 98%
“…Meanwhile, the results of the study case [23] in Johor and Terengganu, Malaysia, illustrated that the rainfall would have impacts on traffic flow and speed, but average traffic volume.…”
Section: Literature Reviewmentioning
confidence: 98%
“…where entry angle is 40° and entry radius is 40 m, using (14) Chi-square test suggests that there is a significant difference between the linear and exponential entry capacity because of the calculated \ 2 (22.5)>tabulated \ 2 (3.84). It is suggested that exponential regres- Note that in Table 6, FQS denotes the functional quality of service from empirical data.…”
Section: Resultsmentioning
confidence: 99%
“…But how exactly would delay play out during rainy conditions, this can be queried. Rainfall is one of the ambient conditions that affect the quality of service according to Mashros et al [14]. Given a rainfall scenario at roundabouts, it is necessary to know whether the rainfall could cause a significant increase in delay and reduction in the reserve capacity.…”
Section: Introductionmentioning
confidence: 99%
“…Ongoing research focuses on combining a large dataset of Google Directions journey times with data from the UK's Met Office NIMROD precipitation dataset (The UK Met Office, 2003) to assess the relationship between these variables. At a microscopic level, it is known that an increase in precipitation increases journey times as a result of increased risk and the resulting decrease in vehicle speeds to compensate for this factor (Mashros et al, 2014).…”
Section: Weathermentioning
confidence: 99%