Qing He

Project by Qing He

Department of Industrial and Systems Engineering

The focus of this project is on mining such data to deduce useful information about present or future travelers' behavior, with a special emphasis under events, including both planned events (sporting  games, concert, parade,  holidays and etc.), and unplanned events (such as inclement weather, earthquakes, hurricanes, floods and etc.). Specifically, the project proposes to develop effective and efficient techniques to collect, extract and mine social media data to support advanced traveler information systems and traffic operators. By mining social media based semantics, especially text  semantics, this project aims to achieve the following goals: 1) Assess the impact of unplanned events. 2) Extract useful travel information to indicate congestion for planned events. 3) Identify causality between abnormal traffic pattern and social media data.

This project was funded by US Department of Transportation.