research-article

SimilarMove: Similarity-based Prediction for Moving Object Future Path

Authors:

Mohammed Abdalla,

Abdeltawab Hendawi,

Neveen ElGamal,

Hoda M. O. Mokhtar,

John KrummAuthors Info & Claims

PredictGIS 2018: Proceedings of the 2nd ACM SIGSPATIAL Workshop on Prediction of Human Mobility

Pages 15 - 24

https://doi.org/10.1145/3283590.3283593

Published: 06 November 2018 Publication History

Abstract

Trajectory prediction has a significant impact on many location-based services such as local search, traffic management, and routing services. Existing trajectory prediction techniques utilize the object's motion history to predict the future path(s). However, these techniques fail when the history is unavailable which realistically happens for multiple reasons such as; history might be difficult to obtain, newly registered user has no past history, or previously recorded data is protected for privacy reasons. This paper introduces a novel system named SimilarMove to predict the future paths of moving objects on road networks without relying on their past trajectories. SimilarMove analyzes the motion pattern of the moving object under investigation and identifies other moving objects that show similar motion patterns. Then, a Markov Model is adopted to digest this set of similar motion patterns and produce the next potential movements of the object under investigation along with their likelihoods. A key aspect of SimilarMove lies in achieving a high quality prediction while being efficient in terms of performance.

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Cited By

Khairy MMokhtar HAbdalla M(2025)Adaptive traffic prediction model using Graph Neural Networks optimized by reinforcement learningInternational Journal of Cognitive Computing in Engineering10.1016/j.ijcce.2025.02.001Online publication date: Mar-2025
https://doi.org/10.1016/j.ijcce.2025.02.001
Eldawy EAbdalla MMokhtar HHendawi AAbdelAziz A(2025)Smart real-time detection of risky roads using vehicles trajectories for intelligent transportationInternational Journal of Cognitive Computing in Engineering10.1016/j.ijcce.2025.01.0016(370-379)Online publication date: Dec-2025
https://doi.org/10.1016/j.ijcce.2025.01.001
Abdalla MHendawi AMokhtar HElgamal NKrumm JAli M(2020)$DeepMotions$ : A Deep Learning System for Path Prediction Using Similar MotionsIEEE Access10.1109/ACCESS.2020.29669828(23881-23894)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2966982

Index Terms

SimilarMove: Similarity-based Prediction for Moving Object Future Path
1. Information systems
  1. Information systems applications
    1. Spatial-temporal systems
      1. Geographic information systems
  2. World Wide Web
    1. Web applications
      1. Crowdsourcing
        Incentive schemes

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Published In

cover image ACM Conferences

PredictGIS 2018: Proceedings of the 2nd ACM SIGSPATIAL Workshop on Prediction of Human Mobility

November 2018

50 pages

ISBN:9781450360425

DOI:10.1145/3283590

Editors:
Akihito Sudo
Shizuoka University, Japan
,
Yoshihide Sekimoto
University of Tokyo, Japan
,
Lau Hoong Chin
Singapore Management University, Singapore
,
Xuan Song
University of Tokyo, Japan
,
Takahiro Yabe
Purdue University, IN, USA

Copyright © 2018 ACM.

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2018

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SIGSPATIAL '18

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SIGSPATIAL

SIGSPATIAL '18: 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 6, 2018

WA, Seattle, USA

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Cited By

Khairy MMokhtar HAbdalla M(2025)Adaptive traffic prediction model using Graph Neural Networks optimized by reinforcement learningInternational Journal of Cognitive Computing in Engineering10.1016/j.ijcce.2025.02.001Online publication date: Mar-2025
https://doi.org/10.1016/j.ijcce.2025.02.001
Eldawy EAbdalla MMokhtar HHendawi AAbdelAziz A(2025)Smart real-time detection of risky roads using vehicles trajectories for intelligent transportationInternational Journal of Cognitive Computing in Engineering10.1016/j.ijcce.2025.01.0016(370-379)Online publication date: Dec-2025
https://doi.org/10.1016/j.ijcce.2025.01.001
Abdalla MHendawi AMokhtar HElgamal NKrumm JAli M(2020)$DeepMotions$ : A Deep Learning System for Path Prediction Using Similar MotionsIEEE Access10.1109/ACCESS.2020.29669828(23881-23894)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2966982

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