Abstract

This study addresses the challenges associated with urban transportation by providing a framework for exploiting data analytics, with application to transportation data, to achieve an effective and time-efficient metropolitan city transportation system. We aim to understand traffic in different areas of the city, as well as trying to categorize the various zones within numerous areas in the city, such as: business destination, residential destination, or touristic destination according to its popularity given both the time-range and the day of the week. In this project, a logistic regression classification model is built to classify locations into hotspots/non-hotspots.

Publication Date

12-2020

Document Type

Master's Project

Student Type

Graduate

Degree Name

Professional Studies (MS)

Department, Program, or Center

Graduate Programs & Research (Dubai)

Advisor

Sanjay Modak

Advisor/Committee Member

Ehsan Warriach

Campus

RIT Dubai

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