| Título: | Site Selection of Mechanical Parking System Based on GIS with AFRARBMI |
| Autores: |
Minan, Tang; Lanzhou University of Technology Xiaoming, Wang; Jiaotong University Shuang, Yuan; Jiaotong University |
| Fecha: | 2013-07-01 |
| Publicador: | TELKOMNIKA: Indonesian journal of electrical engineering |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: | site selection; mechanical parking; fuzzy system; mutual information; attribute reduction |
| Descripción: | In order to rationalize the site-selection of urban mechanical parking system and relieve the traffic congestion after its completion, this paper proposes a decision method. the attribute data of the site-selection of urban mechanical parking system is established on the basis of the GIS analysis method. Then the relationship between the site-selection and multiple geographical factors are explored by the algorithm for mutual information fuzzy-rough attribute reduction and the Rough Set theory. Finally, the attribute reduction is carried out; thereby, an inductive learning method combined with GIS analysis and deductive reasoning is used to generate the decision trees and decision rules and conduct evaluation and analysis for the site-selection decision. Modeling and simulation for the site-selection of mechanical parking system are put into practice in Lanzhou City. The simulation results show that this method can solve the problem better. It also provides reference for the intelligent transportation system. |
| Idioma: | Inglés |