Citation

Roh HJ, Sharma S. Transport 2019; 34(1): 103-114.

Copyright

(Copyright © 2019, Vilnius Gediminas Technical University and Lithuanian Academy of Sciences, Publisher Vilnius Gediminas Technical University (VGTU) Press)

DOI

10.3846/transport.2019.7672

PMID

unavailable

Abstract

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.

Keywords: truck type distribution, weigh-in-motion, vehicle classification, chi-squared test, binomial test

Language: en

Keywords

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