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

作     者：Hyuk-Jae Roh Satish Sharma 

作者机构：City of Regina Old Fire Hall #1 1640 11th AvenuePO Box 1790 Regina SK S4P 3C8 Canada University of Regina Regina SK Canada 

出 版 物：《Journal of Modern Transportation》 (现代交通学报（英文版）)

年 卷 期：2018年第26卷第1期

页      面：57-71页

学科分类：08[工学] 082303[工学-交通运输规划与管理] 082302[工学-交通信息工程及控制] 0823[工学-交通运输工程] 

基　　金：the Natural Science and Engineering Research Council of Canada (NSERC) Saskatchewan Government Insurance (SGI) for their financial support 

主　　题：Truck traffic Inclement weather Regionalcommuter road Weigh in motion Snowfall Temperature 

摘      要：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 sig- nificantly 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 anal- ysis. 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 con- ducted 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 sub- divided 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.