Authors:
Liu Mei
;
Li Jing
and
Kang Shu
Affiliation:
School of Economics and Management and Beijing Jiaotong University, China
Keyword(s):
High-speed rail, Passenger travel choice, Fuzzy logic.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Bioinformatics
;
Biomedical Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Methodologies and Technologies
;
Operational Research
;
Railway Intelligent Systems
;
Simulation
Abstract:
Travelling choice about high-speed rail is very important to improve the level of management. The paper put forward a prediction model based on fuzzy logic to predict the choices of the travelers , after compared several methods. Then , combined with the survey data and the training and testing of the model , we determined a effective model with fuzzy rules. The inspection findings of the model indicate that the choice result predicated by the model based on fuzzy logic and the actual choice very close. Therefore, the prediction method based on fuzzy logic is feasible. In addition, we put forward the concept of improving factor, to provide reasonable proposals about how to improve the services and management quality of the high-speed way.