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Pedestrian flow prediction in extensive road networks using biased observational data

Authors:

Dirk HeckerAuthors Info & Claims

GIS '08: Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems

Article No.: 67, Pages 1 - 4

https://doi.org/10.1145/1463434.1463512

Published: 05 November 2008 Publication History

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Abstract

In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniques are not able to appropriately deal with its challenges and constraints, in particular with sample selection bias. For this purpose, we introduce s-knn-apriori, an efficient nearest neighbor based spatial mining algorithm that allows prior knowledge and deductive models to be included in a straightforward and easy way.

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Cited By

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Mende F(2023)Integrierte OoH und DOoH Messung in der Schweiz – SPR+ Bewertungssystem in einem starken OoH-MarktOut-of-Home-Kommunikation10.1007/978-3-658-38119-6_19(303-329)Online publication date: 30-Apr-2023
https://doi.org/10.1007/978-3-658-38119-6_19
Gu JSong CRen ZLu LJiang WLiu M(2022)Pedestrian Flow Prediction and Route Recommendation with Business EventsSensors10.3390/s2219747822:19(7478)Online publication date: 2-Oct-2022
https://doi.org/10.3390/s22197478
Gu JSong CJiang WShi LGong HLiu M(2019)Pedestrian Flow Prediction with Business Events2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)10.1109/MSN48538.2019.00022(43-48)Online publication date: Dec-2019
https://doi.org/10.1109/MSN48538.2019.00022
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Index Terms

Pedestrian flow prediction in extensive road networks using biased observational data
1. Computing methodologies
  1. Machine learning
    1. Machine learning approaches

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Information & Contributors

Information

Published In

GIS '08: Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems

November 2008

559 pages

ISBN:9781605583235

DOI:10.1145/1463434

Program Chairs:
Walid G. Aref
Purdue University
,
Mohamed F. Mokbel
University of Minnesota
,
Markus Schneider
University of Florida

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 November 2008

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GIS '08

Sponsor:

Microsoft
SIGSPATIAL

GIS '08: 16th International Symposium on Advances in Geographic Information Systems

November 5 - 7, 2008

California, Irvine

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

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Cited By

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Mende F(2023)Integrierte OoH und DOoH Messung in der Schweiz – SPR+ Bewertungssystem in einem starken OoH-MarktOut-of-Home-Kommunikation10.1007/978-3-658-38119-6_19(303-329)Online publication date: 30-Apr-2023
https://doi.org/10.1007/978-3-658-38119-6_19
Gu JSong CRen ZLu LJiang WLiu M(2022)Pedestrian Flow Prediction and Route Recommendation with Business EventsSensors10.3390/s2219747822:19(7478)Online publication date: 2-Oct-2022
https://doi.org/10.3390/s22197478
Gu JSong CJiang WShi LGong HLiu M(2019)Pedestrian Flow Prediction with Business Events2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN)10.1109/MSN48538.2019.00022(43-48)Online publication date: Dec-2019
https://doi.org/10.1109/MSN48538.2019.00022
Scheider SOstermann FAdams B(2017)Why good data analysts need to be critical synthesists. Determining the role of semantics in data analysisFuture Generation Computer Systems10.1016/j.future.2017.02.04672:C(11-22)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1016/j.future.2017.02.046
Kopp CKochan BMay MPappalardo LRinzivillo SSchulz DSimini F(2014)Evaluation of Spatio-Temporal Microsimulation SystemsData Science and Simulation in Transportation Research10.4018/978-1-4666-4920-0.ch008(141-166)Online publication date: 2014
https://doi.org/10.4018/978-1-4666-4920-0.ch008
Davies NClinch SAlt F(2014)Pervasive Displays: Understanding the Future of Digital SignageSynthesis Lectures on Mobile and Pervasive Computing10.2200/S00558ED1V01Y201312MPC0118:1(1-128)Online publication date: 30-Apr-2014
https://doi.org/10.2200/S00558ED1V01Y201312MPC011
(2013)Compilation of ReferencesData Science and Simulation in Transportation Research10.4018/978-1-4666-4920-0.chcrf(0-0)Online publication date: 31-Dec-2013
https://doi.org/10.4018/978-1-4666-4920-0.chcrf
Hecker DKörner CStange HSchulz DMay M(2011)Modeling Micro-Movement Variability in Mobility StudiesAdvancing Geoinformation Science for a Changing World10.1007/978-3-642-19789-5_7(121-140)Online publication date: 17-Mar-2011
https://doi.org/10.1007/978-3-642-19789-5_7
Zheng XLiu M(2010)Forecasting model for pedestrian distribution under emergency evacuationReliability Engineering & System Safety10.1016/j.ress.2010.07.00595:11(1186-1192)Online publication date: Nov-2010
https://doi.org/10.1016/j.ress.2010.07.005
Körner CHecker DMay MWrobel S(2010)Visit Potential: A Common Vocabulary for the Analysis of Entity-Location Interactions in Mobility ApplicationsGeospatial Thinking10.1007/978-3-642-12326-9_5(79-95)Online publication date: 31-Mar-2010
https://doi.org/10.1007/978-3-642-12326-9_5
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