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      Effects of weather conditions, light conditions, and road lighting on vehicle speed

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          Abstract

          Light conditions are known to affect the number of vehicle accidents and fatalities but the relationship between light conditions and vehicle speed is not fully understood. This study examined whether vehicle speed on roads is higher in daylight and under road lighting than in darkness, and determined the combined effects of light conditions, posted speed limit and weather conditions on driving speed. The vehicle speed of passenger cars in different light conditions (daylight, twilight, darkness, artificial light) and different weather conditions (clear weather, rain, snow) was determined using traffic and weather data collected on an hourly basis for approximately 2 years (1 September 2012–31 May 2014) at 25 locations in Sweden (17 with road lighting and eight without). In total, the data included almost 60 million vehicle passes. The data were cleaned by removing June, July, and August, which have different traffic patterns than the rest of the year. Only data from the periods 10:00 A.M.–04:00 P.M. and 06:00 P.M.–10:00 P.M. were used, to remove traffic during rush hour and at night. Multivariate adaptive regression splines was used to evaluate the overall influence of independent variables on vehicle speed and nonparametric statistical testing was applied to test for speed differences between dark–daylight, dark–twilight, and twilight–daylight, on roads with and without road lighting. The results show that vehicle speed in general depends on several independent variables. Analyses of vehicle speed and speed differences between daylight, twilight and darkness, with and without road lighting, did not reveal any differences attributable to light conditions. However, vehicle speed decreased due to rain or snow and the decrease was higher on roads without road lighting than on roads with lighting. These results suggest that the strong association between traffic accidents and darkness or low light conditions could be explained by drivers failing to adjust their speed to the reduced visibility in dark conditions.

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          Most cited references24

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          Multivariate adaptive regression splines (with discussion)

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            Effects of road lighting: an analysis based on Dutch accident statistics 1987-2006.

            Per Wanvik (2009)
            This study estimates the safety effect of road lighting on accidents in darkness on Dutch roads, using data from an interactive database containing 763,000 injury accidents and 3.3 million property damage accidents covering the period 1987-2006. Two estimators of effect are used, and the results are combined by applying techniques of meta-analysis. Injury accidents are reduced by 50%. This effect is larger than the effects found in most of the earlier studies. The effect on fatal accidents is slightly larger than the effect on injury accidents. The effect during twilight is about 2/3 of the effect in darkness. The effect of road lighting is significantly smaller during adverse weather and road surface conditions than during fine conditions. The effects on pedestrian, bicycle and moped accidents are significantly larger than the effects on automobile and motorcycle accidents. The risk of injury accidents was found to increase in darkness. The average increase in risk was estimated to 17% on lit rural roads and 145% on unlit rural roads. The average increase in risk during rainy conditions is about 50% on lit rural roads and about 190% on unlit rural roads. The average increase in risk with respect to pedestrian accidents is about 140% on lit rural roads and about 360% on unlit rural roads.
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              Effects of weather and weather forecasts on driver behaviour

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                Author and article information

                Contributors
                +46-(0)-13-204219 , annika.jagerbrand@vti.se
                js@meme.hokudai.ac.jp
                Journal
                Springerplus
                Springerplus
                SpringerPlus
                Springer International Publishing (Cham )
                2193-1801
                23 April 2016
                23 April 2016
                2016
                : 5
                : 505
                Affiliations
                [ ]Swedish National Road and Transport Research Institute, Box 55685, 102 15 Stockholm, Sweden
                [ ]Hokkaido University, Sapporo, Japan
                Article
                2124
                10.1186/s40064-016-2124-6
                4842190
                27186469
                f6b44e16-a314-4ae5-a053-fc9932cc1bf9
                © Jägerbrand and Sjöbergh. 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 8 January 2016
                : 7 April 2016
                Funding
                Funded by: The Swedish Energy Agency
                Award ID: 36232-1
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2016

                Uncategorized
                big data,visibility,velocity,driving behavior,street lighting,rain,snow,temperature
                Uncategorized
                big data, visibility, velocity, driving behavior, street lighting, rain, snow, temperature

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