BBAuthors: Ashqar, H. I.; Advisor: -; Participants: Almannaa, M. H.; Elhenawy, M.; Rakha, H. A.; House, L. (2019)
This paper develops a novel two-layer hierarchical classifier that increases the accuracy of traditional transportation mode classification algorithms. This paper also enhances classification accuracy by extracting new frequency domain features. Many researchers have obtained these features from global positioning system data; however, this data was excluded in this paper, as the system use might deplete the smartphone’s battery
and signals may be lost in some areas. Our proposed two-layer framework differs from previous classification attempts in three distinct ways: 1) the outputs of the two layers are combined using Bayes’ rule to choose the transportation mode with the largest poster... 
