Study of the mode of real-time and dynamic parking guidance and information systems based on fuzzy clustering analysis

Shi An; Bo Han; Jian Wang

doi:10.1109/ICMLC.2004.1378506

Study of the mode of real-time and dynamic parking guidance and information systems based on fuzzy clustering analysis

Shi An^*
, Bo Han
, Jian Wang

^*Corresponding author for this work

Harbin Institute of Technology Shenzhen

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

12 Scopus citations

Abstract

According to the problem that the directing information is static in most parking guidance and information systems (PGIS) nowadays, this paper suggests establishing the real-time and dynamic PGIC that is providing the dynamic information guidance for the vehicles that need parking. First of all, it adopts the principle component analysis to choose the main factors that affect the drivers' parking choice activity. Then according to fuzzy clustering algorithm, it categorizes the drivers that need parking and assign them parks, in order to carry out the real-time and dynamic guidance in the process of parking.

Original language	English
Title of host publication	Proceedings of 2004 International Conference on Machine Learning and Cybernetics
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2790-2794
Number of pages	5
ISBN (Print)	0780384032, 9780780384033
DOIs	https://doi.org/10.1109/ICMLC.2004.1378506
State	Published - 2004
Externally published	Yes
Event	3rd International Conference on Machine Learning and Cybernetics, ICMLC 2004 - Shanghai, China Duration: 26 Aug 2004 → 29 Aug 2004

Publication series

Name	Proceedings of 2004 International Conference on Machine Learning and Cybernetics
Volume	5

Conference

Conference	3rd International Conference on Machine Learning and Cybernetics, ICMLC 2004
Country/Territory	China
City	Shanghai
Period	26/08/04 → 29/08/04

Keywords

Binary transformation
Fuzzy clustering
Principal component analysis
Real-time and dynamic

Access to Document

10.1109/ICMLC.2004.1378506

Cite this

An, S., Han, B., & Wang, J. (2004). Study of the mode of real-time and dynamic parking guidance and information systems based on fuzzy clustering analysis. In Proceedings of 2004 International Conference on Machine Learning and Cybernetics (pp. 2790-2794). (Proceedings of 2004 International Conference on Machine Learning and Cybernetics; Vol. 5). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMLC.2004.1378506

An, Shi ; Han, Bo ; Wang, Jian. / Study of the mode of real-time and dynamic parking guidance and information systems based on fuzzy clustering analysis. Proceedings of 2004 International Conference on Machine Learning and Cybernetics. Institute of Electrical and Electronics Engineers Inc., 2004. pp. 2790-2794 (Proceedings of 2004 International Conference on Machine Learning and Cybernetics).

@inproceedings{50555ba0852445ee9264e05a2a2a90ed,

title = "Study of the mode of real-time and dynamic parking guidance and information systems based on fuzzy clustering analysis",

abstract = "According to the problem that the directing information is static in most parking guidance and information systems (PGIS) nowadays, this paper suggests establishing the real-time and dynamic PGIC that is providing the dynamic information guidance for the vehicles that need parking. First of all, it adopts the principle component analysis to choose the main factors that affect the drivers' parking choice activity. Then according to fuzzy clustering algorithm, it categorizes the drivers that need parking and assign them parks, in order to carry out the real-time and dynamic guidance in the process of parking.",

keywords = "Binary transformation, Fuzzy clustering, Principal component analysis, Real-time and dynamic",

author = "Shi An and Bo Han and Jian Wang",

year = "2004",

doi = "10.1109/ICMLC.2004.1378506",

language = "英语",

isbn = "0780384032",

series = "Proceedings of 2004 International Conference on Machine Learning and Cybernetics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2790--2794",

booktitle = "Proceedings of 2004 International Conference on Machine Learning and Cybernetics",

address = "美国",

note = "3rd International Conference on Machine Learning and Cybernetics, ICMLC 2004 ; Conference date: 26-08-2004 Through 29-08-2004",

}

An, S, Han, B & Wang, J 2004, Study of the mode of real-time and dynamic parking guidance and information systems based on fuzzy clustering analysis. in Proceedings of 2004 International Conference on Machine Learning and Cybernetics. Proceedings of 2004 International Conference on Machine Learning and Cybernetics, vol. 5, Institute of Electrical and Electronics Engineers Inc., pp. 2790-2794, 3rd International Conference on Machine Learning and Cybernetics, ICMLC 2004, Shanghai, China, 26/08/04. https://doi.org/10.1109/ICMLC.2004.1378506

Study of the mode of real-time and dynamic parking guidance and information systems based on fuzzy clustering analysis. / An, Shi; Han, Bo; Wang, Jian.
Proceedings of 2004 International Conference on Machine Learning and Cybernetics. Institute of Electrical and Electronics Engineers Inc., 2004. p. 2790-2794 (Proceedings of 2004 International Conference on Machine Learning and Cybernetics; Vol. 5).

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

TY - GEN

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AU - An, Shi

AU - Han, Bo

AU - Wang, Jian

PY - 2004

Y1 - 2004

N2 - According to the problem that the directing information is static in most parking guidance and information systems (PGIS) nowadays, this paper suggests establishing the real-time and dynamic PGIC that is providing the dynamic information guidance for the vehicles that need parking. First of all, it adopts the principle component analysis to choose the main factors that affect the drivers' parking choice activity. Then according to fuzzy clustering algorithm, it categorizes the drivers that need parking and assign them parks, in order to carry out the real-time and dynamic guidance in the process of parking.

AB - According to the problem that the directing information is static in most parking guidance and information systems (PGIS) nowadays, this paper suggests establishing the real-time and dynamic PGIC that is providing the dynamic information guidance for the vehicles that need parking. First of all, it adopts the principle component analysis to choose the main factors that affect the drivers' parking choice activity. Then according to fuzzy clustering algorithm, it categorizes the drivers that need parking and assign them parks, in order to carry out the real-time and dynamic guidance in the process of parking.

KW - Binary transformation

KW - Fuzzy clustering

KW - Principal component analysis

KW - Real-time and dynamic

UR - https://www.scopus.com/pages/publications/6344260587

U2 - 10.1109/ICMLC.2004.1378506

DO - 10.1109/ICMLC.2004.1378506

M3 - 会议稿件

AN - SCOPUS:6344260587

SN - 0780384032

SN - 9780780384033

T3 - Proceedings of 2004 International Conference on Machine Learning and Cybernetics

SP - 2790

EP - 2794

BT - Proceedings of 2004 International Conference on Machine Learning and Cybernetics

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Machine Learning and Cybernetics, ICMLC 2004

Y2 - 26 August 2004 through 29 August 2004

ER -

An S, Han B, Wang J. Study of the mode of real-time and dynamic parking guidance and information systems based on fuzzy clustering analysis. In Proceedings of 2004 International Conference on Machine Learning and Cybernetics. Institute of Electrical and Electronics Engineers Inc. 2004. p. 2790-2794. (Proceedings of 2004 International Conference on Machine Learning and Cybernetics). doi: 10.1109/ICMLC.2004.1378506

Study of the mode of real-time and dynamic parking guidance and information systems based on fuzzy clustering analysis

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Keywords

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