Abstract: This study examines logit models applied to the truck route choice problem using GPS trucking data from the Dallas metropolitan area. Instead of assuming a constant coefficient for each ...
Abstract: A data-secure and cost-efficient Personalized Travel Recommendation (PTR) is necessary to develop urban intelligence in transportation. Although prevalent machine learning-based methods have ...
The models discussed in this paper are all detailed in the wiki documentation of our GPro package, which is publicly available. We would be delighted if you also wished to try out our toolkit! To ...
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