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

Author

An, Shi ; Han, Bo ; Wang, Jian

Author_Institution

Shenzhen Graduate Sch., Harbin Inst. of Technol., Shenzhen, China

Volume

5

fYear

2004

fDate

26-29 Aug. 2004

Firstpage

2790

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 principal 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

driver information systems; fuzzy set theory; pattern clustering; principal component analysis; real-time systems; road vehicles; traffic control; dynamic information guidance; dynamic parking guidance system; fuzzy clustering algorithm; fuzzy clustering analysis; information systems; principal component analysis; real time guidance system; vehicle parking system; Clustering algorithms; Fuzzy systems; Information analysis; Information systems; Intelligent transportation systems; Navigation; Principal component analysis; Real time systems; Vehicle dynamics; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on

Print_ISBN

0-7803-8403-2

Type

conf

DOI

10.1109/ICMLC.2004.1378506

Filename

1378506