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Analysis and modeling of highway truck traffic volume variations during severe winter weather conditions in Canada

Journal of Modern Transportation 2015年第3期23卷 228-239页

作者： Hyuk-Jae Roh Satish Sharma Prasanta K.Sahu sandeep datia City of Regina Faculty of Engineering and Applied Science University of Regina Department of Civil Engineering Birla Institute of Technology Pilani City of Edmonton

This paper investigates the impact of cold and snow on daily and hourly truck traffic volume on a primary highway in Alberta, Canada. This research is based on a detailed case study of 5 years of weigh-in-motion data recorded continuously at Leduc site on Highway 2A. Influence of the winter conditions on truck type distribution is examined by classifying trucks into single-unit trucks, single-trailer, and multi-trailer units. It is evident from the study that proportion of the three truck classes in the total truck traffic remained essentially stable over the study period （2005-2009）. Dummy-variable regression models are used to relate daily and hourly truck traffic volume with snowfall and categorized cold as independent variables. The statistical significance of all the independent variables used in the model is established by conducting tests such as R2, F test, incremental F test, and t test. The study results suggested that the truck volume is not significantly affected by the normal snowfall or the typical cold temperatures, i.e., average daily snowfall about less than 15 cm or temperatures higher than -25 ℃ are not likely to affect the truck traffic patterns. It is believed that the findings of this study can benefit highway agencies in developing programs and policies for efficient monitoring of truck traffic throughout the year and snow removal during the winter season in Canada.

关键词： Truck traffic ·Snowfall · Cold temperature ·Weather·Alberta· Canada

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