This repository addresses public transportation mobility analysis as discussed in my Ph.D. thesis titled as: "Popular Content Distribution in Public Transportation Using Artificial Intelligence Techniques". The code used for the entire mobility analysis is provided twice using two programming languages, namely: Python and MATLAB.
This repository addresses public transportation mobility analysis as discussed in Chapter 4 of my Ph.D. thesis which can be cited as:
Kais Suleiman, “Popular Content Distribution in Public Transportation Using Artificial Intelligence Techniques.”, Ph.D. thesis, University of Waterloo, Ontario, Canada, 2019.
The code used for the entire mobility analysis is provided twice using two programming languages, namely: Python and MATLAB.