Effect of weather conditions to traffic flow on freeway

Oh, Ju Sam; Shim, Yong Un; Cho, Yoon Ho

doi:10.1007/bf02841995

Cited by 20 publications

(6 citation statements)

References 2 publications

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“…(2005) found that heavy rains (more than 7 mm/h/0.25 inch/hour) showed speed reductions of 4–7%. The effect of rainy night is larger than rainy day while the effect of snowy day and night is similar in terms of speed reduction (Oh et al ., 2002). It appears that when drivers slowdown response to marginal weather, such as fog or variable message advisory signs once they pass the signs and the weather changes, they tend to compensate for the lost time by increasing their speed to levels above those that they maintained before they felt forced to slow down (Boyle and Mannering, 2004).…”

Section: Literature Reviewmentioning

confidence: 99%

Effects of temporal characteristics and weather conditions on speeding sanction rates in automatic traffic enforcement

Sutela

Aaltonen

2020

The Police Journal

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Speeding is dangerous and contributes significantly to traffic safety. Despite that, speeding is not perceived as serious crime, and has been a relatively neglected topic in criminology. The purpose of this study is to analyse the effects of different temporal characteristics and weather conditions on speeding sanction rates in automatic traffic enforcement. The analysis focuses on two major highways in Finland. Generalized additive models are used to analyse factors influencing the sanction rates. The findings indicate e.g., that high temperatures are associated with higher rates of speeding, and the converse is true for rainfall.

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Section: Literature Reviewmentioning

confidence: 99%

Effects of temporal characteristics and weather conditions on speeding sanction rates in automatic traffic enforcement

Sutela

Aaltonen

2020

The Police Journal

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“…While some studies confirmed significant changes in speed behaviour under adverse road-weather conditions [ 12 , 14 , 17 ], other studies contradict these observations, mainly in terms of the intensity of speed dispersion [ 9 , 18 ]. Further, the performance of conventional approaches such as regression modelling to study speed behaviour has been criticized [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Modelling speed behaviour in rural highways: Safety analysis of driving under adverse road-weather conditions

2021

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This study proposes a methodical approach to model desired speed distributions under different road-weather and traffic conditions followed by identification of road-weather conditions with potentially higher safety risks in rural divided highways located in extremely cold regions. Desired speed distributions encompassing unique combinations of adverse road-weather and traffic conditions are modelled as normal distributions characterized by their means and standard deviations formulated based on two principal statistical theorems and techniques i.e., Central Limit Theorem and Minimum Variance Unbiased Estimation. Combination of the precipitation conditions, road surface conditions, time of the day, temperature, traffic flow and the heavy vehicle percentage at the time of travel were considered in defining the combinations of road-weather and traffic conditions. The findings reveal that simultaneous occurrence of particular precipitation and pavement conditions significantly affect the characteristics of the desired speed distribution and potentially expose drivers to elevated safety risks. Jurisdictions experiencing extreme road-weather conditions may adapt the proposed methodology to assess speed behaviour under different road-weather conditions to establishing and deploying weather-responsive traffic management strategies such as variable speed limit to regulate speeding and improve traffic safety in winter.

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“…Most of the studies about cycling that do exist have focused on road safety analysis, facility provisions and designs, the impact of the built environment and sociodemographic factors, and policy (3,(8)(9)(10)(11)(12)(13)(14)(15); few have investigated the impact of weather on cycling (16)(17)(18)(19)(20)(21)(22). In fact, the relationship between weather and travel has been investigated mostly for modes other than cycling, such as motor vehicle traffic volumes and safety (23), transit ridership (24), pedestrian volumes (25), and driving behavior and vehicle operating speeds (26,27). Of the few studies that have investigated the impact of weather and seasonal variations on cycling ridership, only one was found that analyzes Canadian or North American cities (20).…”

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confidence: 99%

Weather or Not to Cycle

Miranda-Moreno

Nosal

2011

Transportation Research Record

155

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This study investigated the relationship between weather conditions and cycling ridership, as well as the hourly, daily, monthly, and yearly trends for use of urban bicycle facilities. A unique data set of cyclist ridership, collected at five automatic counting stations on primarily utilitarian bike facilities in the city of Montreal, Canada, was used. Absolute and relative ridership models were used to analyze the direct and lagging effects of weather variables and extreme weather conditions on hourly cyclist volumes. Precipitation, temperature, and humidity had significant effects on bicycle ridership. After other factors were controlled for, when the temperature doubled, a 43% to 50% increase in ridership could be expected; however, the temperature had a negative effect when it was higher than 28°C and humidity was greater than 60%. The results also showed that bicycle volumes in a given hour were significantly affected not only by the presence of rain in the same hour but also by the presence of rain in the previous 3 h or in the morning only. Daily bicycle volumes were 65% to 89% lower on weekend days than on Monday, the weekday with lowest ridership. This finding confirmed that the analyzed facilities were primarily utilitarian. Further, bicycle volumes peaked in the summer months, with an additional ridership of 32% to 39% with respect to April. Finally, bicycle volumes increased by approximately 20% to 27% in 2009 and 35% to 40% in 2010 with respect to 2008 in the cycling facilities under analysis.

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Effect of weather conditions to traffic flow on freeway

Cited by 20 publications

References 2 publications

Effects of temporal characteristics and weather conditions on speeding sanction rates in automatic traffic enforcement

Effects of temporal characteristics and weather conditions on speeding sanction rates in automatic traffic enforcement

Modelling speed behaviour in rural highways: Safety analysis of driving under adverse road-weather conditions

Weather or Not to Cycle

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