Combined nonparametric chi-squared and binomial statistical test on truck traffic volume changes in Canadian provincial highway network

Transport

Satish Sharma¹  Hyuk-Jae Roh² 

[1] Dept of Environmental Systems Engineering, University of Regina, Canada;Dept of Roadways and Transportation, City of Regina, Canada;

关键词: truck type distribution;    weigh-in-motion;    vehicle classification;    chi-squared test;    binomial test;   

DOI  :  10.3846/transport.2019.7672

来源: DOAJ

【 摘 要 】

This paper examines the effect of weather conditions on truck type distribution using combined nonparametric chi-squared and binomial probability statistical tests. Influence of the winter conditions on truck type distribution is investigated in this paper by classifying trucks into single-unit trucks, single-trailer, and multi-trailer units. The investigation is based on 5 years Weigh-In-Motion (WIM) traffic data collected from Alberta provincial highway network in Canada. The WIM data is collected from six WIM sites located on Highway 2, Highway 2A, Highway 3, Highway 16 and Highway 44. The objective of this study is to investigate the association of three truck type distribution with month and season depending on weather conditions by means of nonparametric statistical test. The statistical results indicate that the variation of truck type distribution is influenced by type of highway facility, such as regional commuter roads and rural long distance highways. The season of the year (winter and non-winter) may also affect the truck type distribution on some types of roads. Findings of this study can benefit highway agencies in developing programs and policies related to efficient monitoring of truck traffic and maintaining highway network throughout the year.

【 授权许可】

Unknown