Anzeige
Erschienen in:
2018 | OriginalPaper | Buchkapitel
Service Quality Evaluation of Railway Freight Transportation Network Based on Bayes Theory
verfasst von : Xuepeng Zhang, Shengdong Li, Xiucong Li, Xinyi Lin, Xiaoyuan Lv
Erschienen in: Advances in Smart Vehicular Technology, Transportation, Communication and Applications
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
With the continuous improvement of the railway freight network, the effective evaluation can ensure that the railway remains competitive in the competition of freight market. Based on the analysis of the influencing factors of railway freight transportation network service quality, this paper constructs the event tree model according to the logical relationship among the factors, and then maps it into Bayesian network model. By calibrating the probability value of the basic events, the Bayesian network probability calculation method is used to obtain the top event probability value, which can determine the grade of the railway freight network service quality. Finally, a case study of Chengdu-Chongqing region is made was carried out to verify the effectiveness of the method.