research-article

LiDAR-based pedestrian-flow analysis for crowdedness equalization

Authors:

Akinori Asahara,

Masatsugu Nomiya,

Satomi TsujiAuthors Info & Claims

SIGSPATIAL '15: Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems

Article No.: 30, Pages 1 - 10

https://doi.org/10.1145/2820783.2820805

Published: 03 November 2015 Publication History

Abstract

A highly practical use case of pedestrian-track analysis by using LiDAR is presented in this paper. Many problems are caused by heavy crowdedness in the management of public facilities, i.e., shopping malls, airports, and so on. One solution is crowdedness equalization by controlling pedestrian flow. We conducted two experimental demonstrations at technical exhibitions to find that factors that determine pedestrian flow. Pedestrian tracks were obtained at an exhibition in 2013 by using a LiDAR-based pedestrian-tracking system first. As a result, new knowledge was gained; the layout of a technical exhibition should be designed to bend the path of a pedestrian flow toward areas where their attention is desired to be. The layout of an exhibition in 2014 was designed to bend the pedestrian path many times so that pedestrians' attention was located diversely. Therefore, pedestrian tracks were successfully obtained; as a result, it was confirmed that crowdedness was successfully equalized.

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Cited By

Kudo KKawaguchi NAdachi MSekiguchi KNonaka K(2024)LiDAR-Based Pedestrian Flow Estimation and its Application to a Self-driving Electric Wheelchair2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)10.1109/AIM55361.2024.10636953(1061-1067)Online publication date: 15-Jul-2024
https://doi.org/10.1109/AIM55361.2024.10636953
Ishikawa KOtomo KOsaki HOdaka T(2023)Path Planning Using a Flow of Pedestrian Traffic in an Unknown EnvironmentJournal of Robotics and Mechatronics10.20965/jrm.2023.p146035:6(1460-1468)Online publication date: 20-Dec-2023
https://doi.org/10.20965/jrm.2023.p1460
Kitazato THoshino MIto MSezaki K(2018)Detection of Pedestrian Flow Using Mobile Devices for Evacuation Guiding in DisasterJournal of Disaster Research10.20965/jdr.2018.p030313:2(303-312)Online publication date: 19-Mar-2018
https://doi.org/10.20965/jdr.2018.p0303
Show More Cited By

Index Terms

LiDAR-based pedestrian-flow analysis for crowdedness equalization
1. Information systems
  1. Information systems applications

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Published In

cover image ACM Conferences

SIGSPATIAL '15: Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 2015

646 pages

ISBN:9781450339674

DOI:10.1145/2820783

General Chairs:
Mohamed Ali
University of Washington, Tacoma
,
Yan Huang
University of North Texas
,
Program Chairs:
Michael Gertz
Heidelberg University, Germany
,
Matthias Renz
LMU Munich, Germany
,
Jagan Sankaranarayanan
NEC Labs

Copyright © 2015 ACM.

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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New York, NY, United States

Publication History

Published: 03 November 2015

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SIGSPATIAL'15: 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 3 - 6, 2015

Washington, Seattle

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SIGSPATIAL '15 Paper Acceptance Rate 38 of 212 submissions, 18%;

Overall Acceptance Rate 257 of 1,238 submissions, 21%

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Cited By

Kudo KKawaguchi NAdachi MSekiguchi KNonaka K(2024)LiDAR-Based Pedestrian Flow Estimation and its Application to a Self-driving Electric Wheelchair2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)10.1109/AIM55361.2024.10636953(1061-1067)Online publication date: 15-Jul-2024
https://doi.org/10.1109/AIM55361.2024.10636953
Ishikawa KOtomo KOsaki HOdaka T(2023)Path Planning Using a Flow of Pedestrian Traffic in an Unknown EnvironmentJournal of Robotics and Mechatronics10.20965/jrm.2023.p146035:6(1460-1468)Online publication date: 20-Dec-2023
https://doi.org/10.20965/jrm.2023.p1460
Kitazato THoshino MIto MSezaki K(2018)Detection of Pedestrian Flow Using Mobile Devices for Evacuation Guiding in DisasterJournal of Disaster Research10.20965/jdr.2018.p030313:2(303-312)Online publication date: 19-Mar-2018
https://doi.org/10.20965/jdr.2018.p0303
Ieiri YNakajima YHishiyama RChen KZhao WMa Y(2018)Attempt to mitigate congestion by providing latent information with walk-rally applicationProceedings of the 9th International Conference on E-Education, E-Business, E-Management and E-Learning10.1145/3183586.3183598(80-84)Online publication date: 11-Jan-2018
https://dl.acm.org/doi/10.1145/3183586.3183598
Asahara A(2017)Decomposition of pedestrian flow heatmap obtained with monitor-based tracking2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN)10.1109/IPIN.2017.8115869(1-8)Online publication date: Sep-2017
https://doi.org/10.1109/IPIN.2017.8115869
Kitazato TIto KUmezawa KIto MSezaki K(2017)Real-Time Visualization of the Degree of Indoor Congestion with Smartphone-Based Participatory SensingDistributed, Ambient and Pervasive Interactions10.1007/978-3-319-58697-7_21(286-301)Online publication date: 18-May-2017
https://doi.org/10.1007/978-3-319-58697-7_21

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