Background: Finding trends in freight transportation activities enables businesses and policy makers to build an understanding of patterns their impact on logistics planning when making investments a region’s infrastructure intermodal transport system. To the best our knowledge, there is limited literature data-driven analysis about mode choices influencing factors Atlantic Canada. Methods: In ...

This research aims to create the most efficient and accurate cab fare prediction system using two machine learning algorithms, Multiple linear Regression algorithm random forest algorithm, compare parameters r-square, Mean Square Error (MSE), Root MSE, RMSLE values evaluate efficiency of algorithm. Considering as group 1 algorithms implemented, 2 process was predict prices get best accuracy alg...