A Survey on Knowledge Discovery from Taxi Trajectories

PhD Qualifying Examination


Title: "A Survey on Knowledge Discovery from Taxi Trajectories"

by

Mr. Ye DING


Abstract:

Nowadays, there are many taxis traversing around the city, and many of
them are equipped with GPS devices. By leveraging the information of taxi
trajectories, we can discover many interesting findings that are difficult
to identify intuitively. Moreover, using the knowledge discovered from
taxi trajectories, we can further make predictions and recommendations to
help both taxi drivers themselves, regular vehicle drivers, passengers,
and the government, to hunt passengers, find fast driving routes, hire
taxis, and monitoring the city, respectively. Unlike other public
transportations and regular vehicles, taxis have their own unique
characteristics, and it enables us to discover knowledge that cannot be
discovered from others. Due to the low-density, sparsity, and uncertainty
of taxi trajectories, knowledge discovery from taxi trajectories faces
many challenges. In this survey, we will discuss the process from
preprocessing data, to analyzing trajectories, and making recommendations.
We will examine the important challenges and research issues of each
aspect, and compare the differences between the state-of-the-art methods.


Date:			Wednesday, 20 March 2013

Time:	 		10:00am - 12:00noon

Venue:   		Room 4480
 		        Lifts 25/26

Committee Members:	Prof. Lionel Ni (Supervisor)
  			Dr. Ke Yi (Chairperson)
  			Dr. Qiong Luo
  			Dr. Raymond Wong



**** ALL are Welcome ****