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Appraisal of Temporal Transferability of Cold Region Winter Weather Traffic Models for Major Highway Segments in Alberta Canada

1
Project Engineer, Roadways and Transportation, City of Regina, Old Fire Hall #1, 1640 11th Avenue, Regina, SK S4P 3C8, Canada
2
Birla Institute of Technology and Sciences Pilani, Pilani, Rajasthan 333031, India
3
Birla Institute of Technology and Sciences Pilani, Hyderabad, Telengana 500078, India
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Department of Environmental Systems Engineering, University of Regina, 3737 Wascana Parkway, Regina, SK S4S 0A2, Canada
5
Department of Civil Engineering, University of Manitoba, 66 Chancellors Cir, Winnipeg, MB R3T 2N2, Canada
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Department of Civil and Environmental Engineering, Carleton University, 1125 Colonel by Drive, Ottawa, ON K1S 5B6, Canada
7
Traffic Monitoring Specialist Alberta Transportation, Government of Alberta, 97 Avenue, Edmonton, AB T5K 2B6, Canada
*
Author to whom correspondence should be addressed.
Geosciences 2019, 9(3), 137; https://doi.org/10.3390/geosciences9030137
Received: 29 January 2019 / Revised: 13 March 2019 / Accepted: 18 March 2019 / Published: 21 March 2019
(This article belongs to the Special Issue Cryosphere II)
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Abstract

This paper evaluates the effect of inclement weather conditions on the travel demand for three classes of vehicles for a primary highway in the province of Alberta, Canada. The demand variables are passenger cars, trucks, and total traffic. It is well known from previous studies that adverse weather conditions such as low temperatures and heavy snowfall cause variation in traffic flow patterns. A winter weather model, based on the dummy variable regression model, was developed to quantify the variations in traffic volume due to snowfall and temperature changes. To establish the relationships, vehicular data was collected from six weigh-in-motion (WIM) sites, and the weather data associated with the WIM sites was collected from nearby weather stations. The study revealed that the variation in truck traffic, due to inclement weather conditions, was insignificant compared to variation in passenger car traffic. This study also investigated the temporal transferability of the developed winter weather model to test if a model can be applied irrespective of the time when it was developed. In addition, an attempt was made to check if the model coefficients could be optimized differently for different classes of traffic for estimating correct traffic variations. To evaluate transferability, the performance of both dummy variable regression and naive (without dummy variables) models was investigated. The results revealed that the dummy variable regression models show better performance for passenger car traffic and total traffic and naive winter weather models give better results for truck traffic. View Full-Text
Keywords: weigh-in-motion; vehicle classification; winter weather traffic model; temporal transferability weigh-in-motion; vehicle classification; winter weather traffic model; temporal transferability
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Roh, H.-J.; Bhat, F.A.; Sahu, P.K.; Sharma, S.; Mehran, B.; Khan, A.M.; Rodriguez, O. Appraisal of Temporal Transferability of Cold Region Winter Weather Traffic Models for Major Highway Segments in Alberta Canada. Geosciences 2019, 9, 137.

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