Aggregation and comparison of trajectories

Nirvana Meratnia; R.A. de By

doi:10.1145/585147.585158

Aggregation and comparison of trajectories

Nirvana Meratnia, R.A. de By

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

37 Citations (Scopus)

161 Downloads (Pure)

Abstract

Dealing with moving objects necessitates having available complete geographical traces for determining exact or possible locations that objects have had, have or will have. This is where trajectory determination plays an important role, and on which classification, aggregation and comparison methods must be built. The purpose of aggregation is to identify similar trajectories and to represent them by a single trajectory.Although much work has been done in similarity measurements for time series data, they mainly deal with one dimensional time series. On the other hand, they are good for short time series and in absence of noise, which is definitely not the case for moving objects. This paper describes different approaches to aggregate similar trajectories.

Original language	English
Title of host publication	GIS '02
Subtitle of host publication	Proceedings of the 10th ACM International Symposium on Advances in Geographic Information Systems ACM-GIS, McLean, 8-9 November 2002
Editors	A. Voisard, S. Chen
Place of Publication	New York, NY
Publisher	Association for Computing Machinery
Pages	49-54
Number of pages	6
ISBN (Print)	1-58113-591-2
DOIs	https://doi.org/10.1145/585147.585158
Publication status	Published - 2002
Event	10th ACM International Symposium on Advances in Geographic Information Systems, GIS 2002 - McLean, United States Duration: 8 Nov 2002 → 9 Nov 2002 Conference number: 10

Workshop

Workshop	10th ACM International Symposium on Advances in Geographic Information Systems, GIS 2002
Abbreviated title	GIS
Country/Territory	United States
City	McLean
Period	8/11/02 → 9/11/02

Keywords

GIP
ADLIB-ART-924
Moving objects
Trajectory
Aggregation
Pattern of movement
Spatial similarity
Spatiotemporal queries

Access to Document

10.1145/585147.585158

Meratnia2002aggregationFinal published version, 178 KB

Cite this

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title = "Aggregation and comparison of trajectories",

abstract = "Dealing with moving objects necessitates having available complete geographical traces for determining exact or possible locations that objects have had, have or will have. This is where trajectory determination plays an important role, and on which classification, aggregation and comparison methods must be built. The purpose of aggregation is to identify similar trajectories and to represent them by a single trajectory.Although much work has been done in similarity measurements for time series data, they mainly deal with one dimensional time series. On the other hand, they are good for short time series and in absence of noise, which is definitely not the case for moving objects. This paper describes different approaches to aggregate similar trajectories.",

keywords = "GIP, ADLIB-ART-924, Moving objects, Trajectory, Aggregation, Pattern of movement, Spatial similarity, Spatiotemporal queries",

author = "Nirvana Meratnia and {de By}, R.A.",

year = "2002",

doi = "10.1145/585147.585158",

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pages = "49--54",

editor = "A. Voisard and S. Chen",

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note = "10th ACM International Symposium on Advances in Geographic Information Systems, GIS 2002, GIS ; Conference date: 08-11-2002 Through 09-11-2002",

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Meratnia, N & de By, RA 2002, Aggregation and comparison of trajectories. in A Voisard & S Chen (eds), GIS '02: Proceedings of the 10th ACM International Symposium on Advances in Geographic Information Systems ACM-GIS, McLean, 8-9 November 2002. Association for Computing Machinery, New York, NY, pp. 49-54, 10th ACM International Symposium on Advances in Geographic Information Systems, GIS 2002, McLean, Virginia, United States, 8/11/02. https://doi.org/10.1145/585147.585158

Aggregation and comparison of trajectories. / Meratnia, Nirvana; de By, R.A.

GIS '02: Proceedings of the 10th ACM International Symposium on Advances in Geographic Information Systems ACM-GIS, McLean, 8-9 November 2002. ed. / A. Voisard; S. Chen. New York, NY : Association for Computing Machinery, 2002. p. 49-54.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Aggregation and comparison of trajectories

AU - Meratnia, Nirvana

AU - de By, R.A.

N1 - Conference code: 10

PY - 2002

Y1 - 2002

N2 - Dealing with moving objects necessitates having available complete geographical traces for determining exact or possible locations that objects have had, have or will have. This is where trajectory determination plays an important role, and on which classification, aggregation and comparison methods must be built. The purpose of aggregation is to identify similar trajectories and to represent them by a single trajectory.Although much work has been done in similarity measurements for time series data, they mainly deal with one dimensional time series. On the other hand, they are good for short time series and in absence of noise, which is definitely not the case for moving objects. This paper describes different approaches to aggregate similar trajectories.

AB - Dealing with moving objects necessitates having available complete geographical traces for determining exact or possible locations that objects have had, have or will have. This is where trajectory determination plays an important role, and on which classification, aggregation and comparison methods must be built. The purpose of aggregation is to identify similar trajectories and to represent them by a single trajectory.Although much work has been done in similarity measurements for time series data, they mainly deal with one dimensional time series. On the other hand, they are good for short time series and in absence of noise, which is definitely not the case for moving objects. This paper describes different approaches to aggregate similar trajectories.

KW - GIP

KW - ADLIB-ART-924

KW - Moving objects

KW - Trajectory

KW - Aggregation

KW - Pattern of movement

KW - Spatial similarity

KW - Spatiotemporal queries

U2 - 10.1145/585147.585158

DO - 10.1145/585147.585158

M3 - Conference contribution

SN - 1-58113-591-2

SP - 49

EP - 54

BT - GIS '02

A2 - Voisard, A.

A2 - Chen, S.

PB - Association for Computing Machinery

CY - New York, NY

T2 - 10th ACM International Symposium on Advances in Geographic Information Systems, GIS 2002

Y2 - 8 November 2002 through 9 November 2002

ER -

Aggregation and comparison of trajectories

Abstract

Workshop

Keywords

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