信息条件下基于预期后悔更新生成备选路径仿真研究*

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。

Research on simulation of generation of candidate routes based on updated anticipated regret under condition of information

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.