摘要
为了研究影响私家车驾驶者备选路径生成的因素,以预期后悔理论为基础,借助贝叶斯网络推理方法,计算了私家车驾驶者受先验知识和出行信息双重影响下的备选路径生成。通过改进的贝叶斯网络结构和参数学习程序建立了实验路网的贝叶斯网络结构,对生成的网络结构进行了参数学习,模拟了不同出行信息和先验条件下生成的备选路径,得出了驾驶者备选路径生成与驾驶者先验知识和出行信息的变化关系。
In order to study the factors to affect the generation of candidate routes,this paper introduced the Bayesian network inference method to solve the generation of candidate routes under the influence of pre-knowledge and travel information based on anticipated regret.It updated the programs of Bayesian network structure and parameter learning to establish the experiment route network and parameter learning.The generated routes were simulated and explained under the condition of different travel information and pre-experiences.It presented the relationship between the generation of candidate routes and pre-experience and travel information.
出处
《计算机应用研究》
CSCD
北大核心
2012年第1期152-154,157,共4页
Application Research of Computers
基金
广西教育厅科研项目(201106LX309)
广西高等学校特色专业及课程一体化建设项目(GXTSZY016)
关键词
预期后悔
备选路径
仿真
私家车
贝叶斯网络推理
anticipate regret
candidate routes
simulation
private cars
Bayesian network inference