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

22 Scopus citations

Abstract

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
Pages275-284
Number of pages10
EditionPART 2
DOIs
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

Other

Other8th International Symposium on Visual Computing, ISVC 2012
Country/TerritoryGreece
CityRethymnon, Crete
Period7/16/127/18/12

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Visualization of taxi drivers' income and mobility intelligence'. Together they form a unique fingerprint.

Cite this