Bus Route Design with a Bayesian Network Analysis of Bus Service Revenues

المؤلفون المشاركون

Liu, Yi
Jia, Yuanhua
Wu, Jiang
Feng, Xuesong

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-01-30

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

هندسة مدنية

الملخص EN

A Bayesian network is used to estimate revenues of bus services in consideration of the effect of bus travel demands, passenger transport distances, and so on.

In this research, the area X in Beijing has been selected as the study area because of its relatively high bus travel demand and, on the contrary, unsatisfactory bus services.

It is suggested that the proposed Bayesian network approach is able to rationally predict the probabilities of different revenues of various route services, from the perspectives of both satisfying passenger demand and decreasing bus operation cost.

This way, the existing bus routes in the studied area can be optimized for their most probable high revenues.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Liu, Yi& Jia, Yuanhua& Feng, Xuesong& Wu, Jiang. 2018. Bus Route Design with a Bayesian Network Analysis of Bus Service Revenues. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1207843

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Liu, Yi…[et al.]. Bus Route Design with a Bayesian Network Analysis of Bus Service Revenues. Mathematical Problems in Engineering No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1207843

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Liu, Yi& Jia, Yuanhua& Feng, Xuesong& Wu, Jiang. Bus Route Design with a Bayesian Network Analysis of Bus Service Revenues. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1207843

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1207843