research-article

Urban computing with taxicabs

Authors:

Xing XieAuthors Info & Claims

UbiComp '11: Proceedings of the 13th international conference on Ubiquitous computing

Pages 89 - 98

https://doi.org/10.1145/2030112.2030126

Published: 17 September 2011 Publication History

Abstract

Urban computing for city planning is one of the most significant applications in Ubiquitous computing. In this paper we detect flawed urban planning using the GPS trajectories of taxicabs traveling in urban areas. The detected results consist of 1) pairs of regions with salient traffic problems and 2) the linking structure as well as correlation among them. These results can evaluate the effectiveness of the carried out planning, such as a newly built road and subway lines in a city, and remind city planners of a problem that has not been recognized when they conceive future plans. We conduct our method using the trajectories generated by 30,000 taxis from March to May in 2009 and 2010 in Beijing, and evaluate our results with the real urban planning of Beijing.

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Cited By

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https://doi.org/10.5753/jisa.2024.4006
Hwang SLeng ZOh SKim KPlötz TKostakos VKay JHoang T(2024)More Data for People with Disabilities! Comparing Data Collection Efforts for Wheelchair Transportation Mode DetectionProceedings of the 2024 ACM International Symposium on Wearable Computers10.1145/3675095.3676617(82-88)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675095.3676617
Jia WZhao SZhao K(2024)Human Mobility Prediction Based on Trend Iteration of Spectral ClusteringIEEE Transactions on Mobile Computing10.1109/TMC.2023.3288132(1-16)Online publication date: 2024
https://doi.org/10.1109/TMC.2023.3288132
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Index Terms

Urban computing with taxicabs
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Geographic visualization
2. Information systems
  1. Information systems applications
    1. Data mining
    2. Spatial-temporal systems

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Published In

cover image ACM Conferences

UbiComp '11: Proceedings of the 13th international conference on Ubiquitous computing

September 2011

668 pages

ISBN:9781450306300

DOI:10.1145/2030112

General Chairs:
James Landay
University of Washington, USA & Microsoft Research Asia, China
,
Yuanchun Shi
Tsinghua University, China
,
Program Chairs:
Donald J. Patterson
University of California, Irvine, USA
,
Yvonne Rogers
Open University, UK
,
Xing Xie
Microsoft Research Asia, China

Copyright © 2011 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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University of Florida: University of Florida
SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 September 2011

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Ubicomp '11

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Ubicomp '11: The 2011 ACM Conference on Ubiquitous Computing

September 17 - 21, 2011

Beijing, China

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

Souza JOliveira SOliveira H(2024)The Impact of Federated Learning on Urban ComputingJournal of Internet Services and Applications10.5753/jisa.2024.400615:1(380-409)Online publication date: 21-Sep-2024
https://doi.org/10.5753/jisa.2024.4006
Hwang SLeng ZOh SKim KPlötz TKostakos VKay JHoang T(2024)More Data for People with Disabilities! Comparing Data Collection Efforts for Wheelchair Transportation Mode DetectionProceedings of the 2024 ACM International Symposium on Wearable Computers10.1145/3675095.3676617(82-88)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675095.3676617
Jia WZhao SZhao K(2024)Human Mobility Prediction Based on Trend Iteration of Spectral ClusteringIEEE Transactions on Mobile Computing10.1109/TMC.2023.3288132(1-16)Online publication date: 2024
https://doi.org/10.1109/TMC.2023.3288132
Pang JAyub Sabir MWang ZHu AYang XYu HHuang Q(2024)Finding a Taxi With Illegal Driver Substitution Activity via Behavior ModelingsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2024.340974425:12(20309-20319)Online publication date: Dec-2024
https://doi.org/10.1109/TITS.2024.3409744
Zhang S(2024)Research on Motion Pattern Mining and Visualization of Moving Objects Based on Trajectory Data2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA)10.1109/ICPECA60615.2024.10471160(1160-1164)Online publication date: 26-Jan-2024
https://doi.org/10.1109/ICPECA60615.2024.10471160
Chen CZeng XLiu YZhang YOuyang LAo M(2024)Preliminary Results on Classifying the RTK Trajectories Using the BP Neural Network2024 9th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)10.1109/ICCCBDA61447.2024.10569823(147-151)Online publication date: 25-Apr-2024
https://doi.org/10.1109/ICCCBDA61447.2024.10569823
Chukwu MHuang XWang SLi XWei H(2024)Urban park accessibility assessment using human mobility data: a systematic reviewAnnals of GIS10.1080/19475683.2024.234170030:2(181-198)Online publication date: 11-Apr-2024
https://doi.org/10.1080/19475683.2024.2341700
Xie ZWu YMa ZChen MQian ZZhang FSun LPeng B(2024)An urban building use identification framework based on integrated remote sensing and social sensing data with spatial constraintsGeo-spatial Information Science10.1080/10095020.2024.2387918(1-25)Online publication date: 12-Aug-2024
https://doi.org/10.1080/10095020.2024.2387918
Chen LFang JYu ZTong YCao SWang LSingh ASun YAkoglu LGunopulos DYan XKumar ROzcan FYe J(2023)A Data-driven Region Generation Framework for Spatiotemporal Transportation Service ManagementProceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3580305.3599760(3842-3854)Online publication date: 6-Aug-2023
https://dl.acm.org/doi/10.1145/3580305.3599760
Wang GChen YWang SZhang FZhang D(2023)ForETaxi: Data-Driven Fleet-Oriented Charging Resource Allocation in Large-Scale Electric Taxi NetworksACM Transactions on Sensor Networks10.1145/357095819:3(1-25)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1145/3570958
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