计算技术与自动化Issue(3)：73-77,5.
基于贝叶斯网络的城市居民出行方式研究
Bayesian Network Modeling for Trip Mode Analysis of Urban Residents
摘要
Abstract
The trip modes of residents in Xi'an city were taken as study subject,and the survey data of some regions in 2013 were collected.A Bayesian network for trip mode analysis was developed by structure and parameter learning,using correlation analysis,K2 algorithm and Bayesian method.Based on the Bayesian network,the influences of private car,gen-der,age and travel purpose on the choice of trip mode were analyzed.The results show that the Bayesian network can ex-press the complicated relationship between the trip mode and the causes.Moreover,the Bayesian network has a high accura-cy.The study can contribute to the development of the trip behaviors theory of residents in Xi'an city.关键词
交通需求管理/出行方式/贝叶斯网络/城市居民Key words
traffic demand management/trip mode/bayesian networks/urban residents分类
信息技术与安全科学引用本文复制引用
申健,王建锋..基于贝叶斯网络的城市居民出行方式研究[J].计算技术与自动化,2015,(3):73-77,5.基金项目
陕西省自然科学基金项目(2012JQ7030) （2012JQ7030）
中央高校基本科研业务费专项资金项目(2013G1502070,2013G1502071,2013G3224018) （2013G1502070,2013G1502071,2013G3224018）
