A Novel Algorithm with an Integrated Model for the Prediction of Sudden Trajectory Behaviors

Hanyang Xu; Shenhong Wang

doi:10.1007/978-3-031-70687-5_2

A Novel Algorithm with an Integrated Model for the Prediction of Sudden Trajectory Behaviors

Hanyang Xu, Shenhong Wang^*

^*Corresponding author for this work

School of Robotics

Xi'an Jiaotong-Liverpool University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

This paper introduces a new algorithm with an integrated model for the prediction of sudden trajectory behaviors. The algorithm systematically introduces an integrated solution of multiple models to address the specific challenges of sudden trajectory behaviors for better prediction. The multiple models include the exponential growth reward-oriented model, the timing model, the reinforcement model, and the cyclical behavior model. The model list may be extended to cover more challenges later. Additional research may be conducted to explore the automation of prediction parameters and dataset storage for the best prediction accuracy of sudden trajectory behaviors.

Original language	English
Title of host publication	Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications
Editors	Anwar P. P. Abdul Majeed, Eng Hwa Yap, Pengcheng Liu, Xiaowei Huang, Anh Nguyen, Wei Chen, Ue-Hwan Kim
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	13-21
Number of pages	9
ISBN (Print)	9783031706868
DOIs	https://doi.org/10.1007/978-3-031-70687-5_2
Publication status	Published - 2024
Event	11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023 - Taicang, China Duration: 6 Dec 2023 → 8 Dec 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1133 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023
Country/Territory	China
City	Taicang
Period	6/12/23 → 8/12/23

Access to Document

10.1007/978-3-031-70687-5_2

Cite this

Xu, H., & Wang, S. (2024). A Novel Algorithm with an Integrated Model for the Prediction of Sudden Trajectory Behaviors. In A. P. P. Abdul Majeed, E. H. Yap, P. Liu, X. Huang, A. Nguyen, W. Chen, & U.-H. Kim (Eds.), Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications (pp. 13-21). (Lecture Notes in Networks and Systems; Vol. 1133 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-70687-5_2

Xu, Hanyang ; Wang, Shenhong. / A Novel Algorithm with an Integrated Model for the Prediction of Sudden Trajectory Behaviors. Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications. editor / Anwar P. P. Abdul Majeed ; Eng Hwa Yap ; Pengcheng Liu ; Xiaowei Huang ; Anh Nguyen ; Wei Chen ; Ue-Hwan Kim. Springer Science and Business Media Deutschland GmbH, 2024. pp. 13-21 (Lecture Notes in Networks and Systems).

@inproceedings{1f26c099b1634111ac85c577b7eb090e,

title = "A Novel Algorithm with an Integrated Model for the Prediction of Sudden Trajectory Behaviors",

abstract = "This paper introduces a new algorithm with an integrated model for the prediction of sudden trajectory behaviors. The algorithm systematically introduces an integrated solution of multiple models to address the specific challenges of sudden trajectory behaviors for better prediction. The multiple models include the exponential growth reward-oriented model, the timing model, the reinforcement model, and the cyclical behavior model. The model list may be extended to cover more challenges later. Additional research may be conducted to explore the automation of prediction parameters and dataset storage for the best prediction accuracy of sudden trajectory behaviors.",

author = "Hanyang Xu and Shenhong Wang",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023 ; Conference date: 06-12-2023 Through 08-12-2023",

year = "2024",

doi = "10.1007/978-3-031-70687-5_2",

language = "English",

isbn = "9783031706868",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "13--21",

editor = "{Abdul Majeed}, {Anwar P. P.} and Yap, {Eng Hwa} and Pengcheng Liu and Xiaowei Huang and Anh Nguyen and Wei Chen and Ue-Hwan Kim",

booktitle = "Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications",

}

Xu, H & Wang, S 2024, A Novel Algorithm with an Integrated Model for the Prediction of Sudden Trajectory Behaviors. in APP Abdul Majeed, EH Yap, P Liu, X Huang, A Nguyen, W Chen & U-H Kim (eds), Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications. Lecture Notes in Networks and Systems, vol. 1133 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 13-21, 11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023, Taicang, China, 6/12/23. https://doi.org/10.1007/978-3-031-70687-5_2

A Novel Algorithm with an Integrated Model for the Prediction of Sudden Trajectory Behaviors. / Xu, Hanyang; Wang, Shenhong.
Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications. ed. / Anwar P. P. Abdul Majeed; Eng Hwa Yap; Pengcheng Liu; Xiaowei Huang; Anh Nguyen; Wei Chen; Ue-Hwan Kim. Springer Science and Business Media Deutschland GmbH, 2024. p. 13-21 (Lecture Notes in Networks and Systems; Vol. 1133 LNNS).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - This paper introduces a new algorithm with an integrated model for the prediction of sudden trajectory behaviors. The algorithm systematically introduces an integrated solution of multiple models to address the specific challenges of sudden trajectory behaviors for better prediction. The multiple models include the exponential growth reward-oriented model, the timing model, the reinforcement model, and the cyclical behavior model. The model list may be extended to cover more challenges later. Additional research may be conducted to explore the automation of prediction parameters and dataset storage for the best prediction accuracy of sudden trajectory behaviors.

AB - This paper introduces a new algorithm with an integrated model for the prediction of sudden trajectory behaviors. The algorithm systematically introduces an integrated solution of multiple models to address the specific challenges of sudden trajectory behaviors for better prediction. The multiple models include the exponential growth reward-oriented model, the timing model, the reinforcement model, and the cyclical behavior model. The model list may be extended to cover more challenges later. Additional research may be conducted to explore the automation of prediction parameters and dataset storage for the best prediction accuracy of sudden trajectory behaviors.

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DO - 10.1007/978-3-031-70687-5_2

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BT - Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications

A2 - Abdul Majeed, Anwar P. P.

A2 - Yap, Eng Hwa

A2 - Liu, Pengcheng

A2 - Huang, Xiaowei

A2 - Nguyen, Anh

A2 - Chen, Wei

A2 - Kim, Ue-Hwan

PB - Springer Science and Business Media Deutschland GmbH

T2 - 11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023

Y2 - 6 December 2023 through 8 December 2023

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Xu H, Wang S. A Novel Algorithm with an Integrated Model for the Prediction of Sudden Trajectory Behaviors. In Abdul Majeed APP, Yap EH, Liu P, Huang X, Nguyen A, Chen W, Kim UH, editors, Robot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications. Springer Science and Business Media Deutschland GmbH. 2024. p. 13-21. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-70687-5_2

A Novel Algorithm with an Integrated Model for the Prediction of Sudden Trajectory Behaviors

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