Visualization of taxi drivers' income and mobility intelligence

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

doi:10.1007/978-3-642-33191-6_27

Visualization of taxi drivers' income and mobility intelligence

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

Supply Chain and Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Advances in Visual Computing - 8th International Symposium, ISVC 2012, Revised Selected Papers
Pages	275-284
Number of pages	10
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-33191-6_27
State	Published - 2012
Event	8th International Symposium on Visual Computing, ISVC 2012 - Rethymnon, Crete, Greece Duration: Jul 16 2012 → Jul 18 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	7432 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	8th International Symposium on Visual Computing, ISVC 2012
Country/Territory	Greece
City	Rethymnon, Crete
Period	7/16/12 → 7/18/12

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-33191-6_27

Cite this

Gao, Y., Xu, P., Lu, L., Liu, H., Liu, S., & Qu, H. (2012). Visualization of taxi drivers' income and mobility intelligence. In Advances in Visual Computing - 8th International Symposium, ISVC 2012, Revised Selected Papers (PART 2 ed., pp. 275-284). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7432 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-33191-6_27

Gao, Yuan ; Xu, Panpan ; Lu, Lu et al. / Visualization of taxi drivers' income and mobility intelligence. Advances in Visual Computing - 8th International Symposium, ISVC 2012, Revised Selected Papers. PART 2. ed. 2012. pp. 275-284 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{7a0cab572add470daea95df2eb9b2d54,

title = "Visualization of taxi drivers' income and mobility intelligence",

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.",

author = "Yuan Gao and Panpan Xu and Lu Lu and He Liu and Siyuan Liu and Huamin Qu",

year = "2012",

doi = "10.1007/978-3-642-33191-6\_27",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Advances in Visual Computing - 8th International Symposium, ISVC 2012, Revised Selected Papers",

edition = "PART 2",

note = "8th International Symposium on Visual Computing, ISVC 2012 ; Conference date: 16-07-2012 Through 18-07-2012",

}

Gao, Y, Xu, P, Lu, L, Liu, H, Liu, S & Qu, H 2012, Visualization of taxi drivers' income and mobility intelligence. in Advances in Visual Computing - 8th International Symposium, ISVC 2012, Revised Selected Papers. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7432 LNCS, pp. 275-284, 8th International Symposium on Visual Computing, ISVC 2012, Rethymnon, Crete, Greece, 7/16/12. https://doi.org/10.1007/978-3-642-33191-6_27

Visualization of taxi drivers' income and mobility intelligence. / Gao, Yuan; Xu, Panpan; Lu, Lu et al.
Advances in Visual Computing - 8th International Symposium, ISVC 2012, Revised Selected Papers. PART 2. ed. 2012. p. 275-284 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7432 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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AU - Xu, Panpan

AU - Lu, Lu

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AB - 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.

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Gao Y, Xu P, Lu L, Liu H, Liu S, Qu H. Visualization of taxi drivers' income and mobility intelligence. In Advances in Visual Computing - 8th International Symposium, ISVC 2012, Revised Selected Papers. PART 2 ed. 2012. p. 275-284. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-33191-6_27

Visualization of taxi drivers' income and mobility intelligence

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