Visual Analytics of Taxi Drivers' Income and Mobility Intelligence

MPhil Thesis Defence


Title: "Visual Analytics of Taxi Drivers' Income and Mobility Intelligence"

By

Miss Yuan Gao


Abstract

GPS has been widely used to track taxies in major cities. It is now 
possible to collect a large amount of taxi trajectory data over a long 
time period. With this data, we can gain insight into taxi drivers’ 
mobility patterns. One interesting problem is to investigate taxi drivers’ 
mobility intelligence, which affect their income. Different taxi drivers 
use different strategies for choosing working hours, operating regions and 
pick up points as they select customers and deliver customers to their 
destinations. In this paper, we present a comprehensive visual analysis 
system which can be used to analyze a large amount of spatial-temporal 
multi-dimensional trajectory data and identify some key factors that 
differentiate high earning taxi drivers from ordinary taxi drivers 
according to their incomes. We have used our system to analyze the 
trajectories of thousands of taxis in a major city and have gained some 
interesting findings on taxi drivers’ mobility intelligence. Such findings 
could be of great value to ordinary taxi drivers wishing to increase their 
earnings without having to work longer hours.


Date:			Friday, 27 May 2011

Time:			10:00am – 12:00noon

Venue:			Room 5508
 			Lifts 25/26

Committee Members:	Dr. Huamin Qu (Supervisor)
 			Prof. Lionel Ni (Chairperson)
 			Dr. Pedro Sander


**** ALL are Welcome ****