Abstract Summary
Truck traffic has a comparatively larger impact on safety, traffic congestion, pollution, and pavement wear than passenger vehicles. Appropriate planning and operation of truck movement is necessary to reduce these impacts. Truck movement has traditionally been measured through surveys, which are limited because they are costly and time consuming. In this study, we propose the use of large streams of GPS data to estimate truck origin-destination flows. We use a multinomial logit structure to estimate destination choice models for five time periods to show the distribution of truck trips in the province of Alberta, Canada.
