A Survey on Visual Analytics of Trajectories

PhD Qualifying Examination


Title: "A Survey on Visual Analytics of Trajectories"

by

Mr. Jiansu Pu


Abstract:

Trajectory data are becoming increasingly available to researchers due to 
the advances in technologies like GPS, RFID, and wireless communication 
devices. Mining or analyzing trajectory data is important in many 
different applications such as transportation management, mobility study, 
route suggestion, and mobile communication management. However, as 
trajectory data contain both spatial and temporal attributes and are often 
huge in size and high in dimensionality, trajectory data analysis is a 
very challenging task. Visual analytics solutions show great potential as 
they can intuitively present multidimensional spatial-temporal trajectory 
data and provide rich interactions for users to explore the data and 
improve mining processes and results.

In this survey, we first introduce the research problem and summarize key 
challenges in the visual analysis of trajectories. Then we continue with 
some background knowledge on trajectory data including data 
characteristics, collection, processing, and calibration. After that we 
summarize typical trajectory analysis methods, related visual 
presentations, and interactive system frameworks. Major visualization 
techniques for trajectories will be reviewed and discussed in the 
following section. Next we present state-of-the-art applications such as 
transportation management, mobility intelligence of drivers, and route 
suggestion. Finally, we conclude our survey with several future research 
directions.


Date:                   Monday, 24 October 2011

Time:                   2:00pm - 4:00pm

Venue:                  Room 3501
                         lifts 25/26

Committee Members:	Prof. Lionel Ni (Supervisor)
                         Dr. Chiew-Lan Tai (Chairperson)
 			Dr. Lei Chen
 			Dr. Huamin Qu


**** ALL are Welcome ****