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

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

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...

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Forward Vehicular Lighting and Inclement Weather Conditions

This paper summarizes research conducted to investigate the problem of forward visibility while driving during inclement weather. A review of the literature indicates that using narrow-distribution lamps, mounted away from the driver's line of sight, would result in the lowest amount of back-scattered light. The literature also indicates that the spectral content of light can influence glare an...

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Weather Conditions and Road Accidents in Ireland

Weather events have the ability to cause disruption to the road networks, both by making roads impassable, and by leading to a deterioration in safe driving conditions. Heavy snows in the winters of 2009 and 2010, as well as extreme flooding in 2011 and 2015, have demonstrated the ability of weather events to impact transport services and mobility. Within an Irish context there is very little r...

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Analysis of Road Lighting Quantity and Quality in Varying Weather Conditions

This article focuses on road lighting measurements and calculations. Road lighting measurements are made to study the definition of appropriate road surface luminance levels during different weather conditions. Measurements took place in five pilot locations where the effects of snow, rain and fog on road luminances were examined. Through the measurement results, the effects of weather on road ...

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Road Segmentation for Classification of Road Weather Conditions

Using vehicle cameras to automatically assess road weather conditions requires that the road surface first be identified and segmented from the imagery. This is a challenging problem for uncalibrated cameras such as removable dash cams or cell phone cameras, where the location of the road in the image may vary considerably from image to image. Here we show that combining a spatial prior with va...

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ژورنال

عنوان ژورنال: SpringerPlus

سال: 2016

ISSN: 2193-1801

DOI: 10.1186/s40064-016-2124-6