research-article

Grab-Posisi: An Extensive Real-Life GPS Trajectory Dataset in Southeast Asia

Authors:

Xiaocheng Huang,

Jagannadan Varadarajan,

Roger ZimmermannAuthors Info & Claims

PredictGIS'19: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility

Pages 1 - 10

https://doi.org/10.1145/3356995.3364536

Published: 05 November 2019 Publication History

Abstract

Real-world GPS trajectory datasets are essential for geographical applications such as map inference, map matching, traffic detection, etc. Currently only a handful of GPS trajectory datasets are publicly available and the quality of these datasets varies. Most of the existing datasets have limited geographical coverage (a focus on China or the USA), have low sampling rates and less contextual information of the GPS pings. This paper presents Grab-Posisi, the first GPS trajectory dataset of Southeast Asia from both developed countries (Singapore) and developing countries (Jakarta, Indonesia). The data were collected very recently in April 2019 with a 1 second sampling rate, which is the highest amongst all the existing open source datasets. It also has richer contextual information, including the accuracy level, bearing, speed and labels trajectories by data acquisition source (Android or iOS phones) and driving mode (Car or Motorcycle). The dataset contains more than 88 million pings and covers more than 1 million kms. Experiments on the dataset demonstrate new challenges for various geographical applications. The dataset is of great value and a significant resource for the community to benchmark and revisit existing algorithms.

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Cited By

Mostafa AMokbel MUribe A(2024)On Splitting Raw TrajectoriesProceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems10.1145/3678717.3691258(561-564)Online publication date: 29-Oct-2024
https://dl.acm.org/doi/10.1145/3678717.3691258
Musleh MMokbel M(2024)Let's Speak Trajectories: A Vision to Use NLP Models for Trajectory Analysis TasksACM Transactions on Spatial Algorithms and Systems10.1145/365647010:2(1-25)Online publication date: 1-Jul-2024
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Mokbel MSakr MXiong LZüfle AAlmeida JAnderson TAref WAndrienko GAndrienko NCao YChawla SCheng RChrysanthis PFei XGhinita GGraser AGunopulos DJensen CKim JKim KKröger PKrumm JLauer JMagdy ANascimento MRavada SRenz MSacharidis DSalim FSarwat MSchoemans MShahabi CSpeckmann BTanin ETeng XTheodoridis YTorp KTrajcevski Gvan Kreveld MWenk CWerner MWong RWu SXu JYoussef MZeinalipour DZhang MZimányi E(2024)Mobility Data Science: Perspectives and ChallengesACM Transactions on Spatial Algorithms and Systems10.1145/365215810:2(1-35)Online publication date: 1-Jul-2024
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Index Terms

Grab-Posisi: An Extensive Real-Life GPS Trajectory Dataset in Southeast Asia
1. Information systems
  1. Information systems applications
    1. Spatial-temporal systems
      1. Geographic information systems

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cover image ACM Conferences

PredictGIS'19: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility

November 2019

81 pages

ISBN:9781450369640

DOI:10.1145/3356995

Editors:
Satish V. Ukkusuri
Purdue University, IN, USA
,
Kaoru Sezaki
University of Tokyo, Japan
,
Takahiro Yabe
Purdue University, IN, USA
,
Kota Tsubouchi
Yahoo Japan Corporation, Tokyo, Japan

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 05 November 2019

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Cited By

Mostafa AMokbel MUribe A(2024)On Splitting Raw TrajectoriesProceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems10.1145/3678717.3691258(561-564)Online publication date: 29-Oct-2024
https://dl.acm.org/doi/10.1145/3678717.3691258
Musleh MMokbel M(2024)Let's Speak Trajectories: A Vision to Use NLP Models for Trajectory Analysis TasksACM Transactions on Spatial Algorithms and Systems10.1145/365647010:2(1-25)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3656470
Mokbel MSakr MXiong LZüfle AAlmeida JAnderson TAref WAndrienko GAndrienko NCao YChawla SCheng RChrysanthis PFei XGhinita GGraser AGunopulos DJensen CKim JKim KKröger PKrumm JLauer JMagdy ANascimento MRavada SRenz MSacharidis DSalim FSarwat MSchoemans MShahabi CSpeckmann BTanin ETeng XTheodoridis YTorp KTrajcevski Gvan Kreveld MWenk CWerner MWong RWu SXu JYoussef MZeinalipour DZhang MZimányi E(2024)Mobility Data Science: Perspectives and ChallengesACM Transactions on Spatial Algorithms and Systems10.1145/365215810:2(1-35)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3652158
Hu DChen LFang HFang ZLi TGao Y(2024)Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative StudyIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2023.3323535(1-21)Online publication date: 2024
https://doi.org/10.1109/TKDE.2023.3323535
Liang BXu XLu WWang FRan B(2024)Optimizing the Deployment of Static and Mobile Roadside Units Using a Branch-and-Price AlgorithmIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2024.340775725:11(17078-17091)Online publication date: Nov-2024
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Wen DLi YLau F(2024)A Survey of Machine Learning-Based Ride-Hailing PlanningIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.334517425:6(4734-4753)Online publication date: Jun-2024
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Yao DWang JChen WGuo FHan PBi J(2024)Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00339(4449-4462)Online publication date: 13-May-2024
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Garcez Duarte MSakr M(2024)An experimental study of existing tools for outlier detection and cleaning in trajectoriesGeoInformatica10.1007/s10707-024-00522-yOnline publication date: 18-May-2024
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Wakai YTakeuchi KKashima H(2024)Recovering Population Dynamics from a Single Point Cloud SnapshotAdvances in Knowledge Discovery and Data Mining10.1007/978-981-97-2259-4_23(302-315)Online publication date: 25-Apr-2024
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