Impact of cold and snow on temporal and spatial variations of highway traffic volumes

Datla, Sandeep; Sharma, Satish C.

doi:10.1016/j.jtrangeo.2007.12.003

Cited by 98 publications

(66 citation statements)

References 11 publications

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“…However, much less attention has been paid to potential changes in extreme snowfall events. These can disrupt traffic (Datla and Sharma 2008), cause large economic (e.g. collapse of infrastructure) and environmental damage as consequence of the heavy loads of accumulated snow (Strasser 2008), result in injuries and fatalities related to traffic accidents, and increase the frequency of avalanches (Spreitzhofer 2000;Changnon and Changnon 2006;Germain et al 2009;Beniston et al 2003;Höller 2009).…”

Section: Introductionmentioning

confidence: 99%

Effects of climate change on the intensity and frequency of heavy snowfall events in the Pyrenees

et al. 2010

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The intensity and frequency of heavy snowfall events in the Pyrenees were simulated using data from the HIRHAM regional climate model for a control period and two greenhouse emission scenarios (SRES B2 and A2) for the end of the twenty-first century . Comparisons between future and control simulations enabled a quantification of the expected change in the intensity and frequency of these events at elevations of 1,000, 1,500, 2,000 and 2,500 m a.s.l. The projected changes in heavy snowfall depended largely on the elevation and the greenhouse gas emission scenario considered. At 1,000 m a.s.l., a marked decrease in the frequency and intensity of heavy snowfall events was projected with the B2 and A2 scenarios. At 1,500 m a.s.l., a decrease in the frequency and intensity is only expected under the higher greenhouse gas emission scenario (A2). Above 2,000 m a.s.l., no change or heavier snowfalls are expected under both emission scenarios. Large spatial variability in the impacts of climate change on heavy snowfall events was found across the study area.

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Section: Introductionmentioning

confidence: 99%

Effects of climate change on the intensity and frequency of heavy snowfall events in the Pyrenees

et al. 2010

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“…Datla and Sharma [2] studied thoroughly the impact of cold and snow on daily and hourly traffic volumes on Alberta provincial highway network in Canada. Hanbali and Kuemmel [7] studied traffic volume reductions due to snow storms on rural highways in the USA.…”

Section: Literature Reviewmentioning

confidence: 99%

“…To complete this, a thematic base map displaying all weather stations across province including the study WIM site was developed by applications of Geographical Information Systems (GIS). According to the research conducted by Datla and Sharma [2], the climatic condition within the radius of 16-25 km from the traffic counting facilities can be considered homogeneous. Based on the results of the study, weather stations within that distance range were identified on the map using a proximity analysis provided by ArcGIS 10 [18].…”

Section: Study Datamentioning

confidence: 99%

“…The study of the effects of inclement weather on overall traffic volumes has been a common theme for many years in the literature. Datla and Sharma [2] closely examined the impact of winter weather conditions such as cold temperature and snowfall on highway total traffic volume. The study concluded that winter weather conditions cause a variety of variations in total traffic volume and that the magnitude of the variations depends on the time of day, day of week and spatial location of the highway, type of the highway and severity of the weather.…”

Section: Introductionmentioning

confidence: 99%

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Microscopic and macroscopic diagnosis of the effect of winter weather conditions on distribution pattern of truck types in regional commuter road

Roh

Sharma

2017

J. Mod. Transport.

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It has been reported in the past literature that total traffic volume and passenger car volume are affected by snowfall and cold temperature, but trucks are not significantly affected. This paper aims to confirm that the distribution of truck types is not affected by winter weather conditions through combined statistical analysis in the framework of microscopic and macroscopic impact analysis. A micro-level analysis was conducted to investigate the effect of snowfall and temperature on changes in truck type distribution. A macro-level analysis was also conducted to investigate the effect of the months (or seasons) on changes in truck type distribution. Truck traffic data were collected for 5 years at the weigh-in-motion site in Highway 2A, which is used for regional commuters near the City of Leduc, Alberta, Canada. The trucks were subdivided into straight unit truck, single trailer and multi trailer unit and then analyzed by applying a nonparametric Chi-squared test combined with the binomial probability test. As a result of the nonparametric test, the truck type distribution was stable irrespective of the severity of winter weather conditions, which are microscopic factors such as snowfall and temperature, and was not influenced by changes in months and seasons, which are macroscopic factors.

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“…Research on the topics of weather conditions and vehicular traffic has generally concluded that adverse weather has a significant impact on traffic conditions (speed and volumes) and safety (collision incidence). For instance, Datla and Sharma observed a significant reduction in traffic volume due to snow events, for all types of highways [18]. Also focusing on highway traffic, Fu et al [5] used a linear regression model to quantify the effect of snow storms on operating speed.…”

Section: Literature Reviewmentioning

confidence: 99%

Using microscopic video data measures for driver behavior analysis during adverse winter weather: opportunities and challenges

Zangenehpour

St-Aubin

et al. 2015

J. Mod. Transport.

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This paper presents a driver behavior analysis using microscopic video data measures including vehicle speed, lane-changing ratio, and time to collision. An analytical framework was developed to evaluate the effect of adverse winter weather conditions on highway driving behavior based on automated (computer) and manual methods. The research was conducted through two case studies. The first case study was conducted to evaluate the feasibility of applying an automated approach to extracting driver behavior data based on 15 video recordings obtained in the winter 2013 at three different locations on the Don Valley Parkway in Toronto, Canada. A comparison was made between the automated approach and manual approach, and issues in collecting data using the automated approach under winter conditions were identified. The second case study was based on high quality data collected in the winter 2014, at a location on Highway 25 in Montreal, Canada. The results demonstrate the effectiveness of the automated analytical framework in analyzing driver behavior, as well as evaluating the impact of adverse winter weather conditions on driver behavior. This approach could be applied to evaluate winter maintenance strategies and crash risk on highways during adverse winter weather conditions.

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Impact of cold and snow on temporal and spatial variations of highway traffic volumes

Cited by 98 publications

References 11 publications

Effects of climate change on the intensity and frequency of heavy snowfall events in the Pyrenees

Effects of climate change on the intensity and frequency of heavy snowfall events in the Pyrenees

Microscopic and macroscopic diagnosis of the effect of winter weather conditions on distribution pattern of truck types in regional commuter road

Using microscopic video data measures for driver behavior analysis during adverse winter weather: opportunities and challenges

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