Visualization of taxi drivers' income and mobility intelligence

Yuan Gao, Panpan Xu, Lu Lu, He Liu, Siyuan Liu, Huamin Qu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations


Different taxi drivers may use different strategies to choose operating regions and find customers, which is called mobility intelligence. In this paper, we present a visualization system to analyze a large amount of spatial-temporal multi-dimensional trajectory data and identify some key factors that differentiate the top drivers and ordinary drivers according to their income. Two novel encoding schemes, Choice-of-Location graph and Move/Wait Strategy tree, have been proposed to analyze drivers' behaviors when choosing operating locations and drivers' move/wait strategies when their taxis are vacant.We have applied our system to the trajectories of thousands of taxis in a major city and have gained some interesting findings on taxi drivers' mobility intelligence.

Original languageEnglish (US)
Title of host publicationAdvances in Visual Computing - 8th International Symposium, ISVC 2012, Revised Selected Papers
Number of pages10
EditionPART 2
StatePublished - 2012
Event8th International Symposium on Visual Computing, ISVC 2012 - Rethymnon, Crete, Greece
Duration: Jul 16 2012Jul 18 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7432 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other8th International Symposium on Visual Computing, ISVC 2012
CityRethymnon, Crete

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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