| 基于贝叶斯网络的出行方式选择模型研究 |
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| 引用本文： | 祝伟,过秀成,何明,冉江宇,刘超平.基于贝叶斯网络的出行方式选择模型研究[J].交通与计算机,2010,28(1):99-103. |
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| 作者姓名： | 祝伟 过秀成 何明 冉江宇 刘超平 |
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| 作者单位： | 东南大学交通学院,南京,10096 |
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| 摘 要： | 论文以居民出行方式选择为研究对象，分析了城市居民出行方式的影响因素，建立了基于贝叶斯网络的居民出行方式选择模型，并以苏州市为例，结合居民出行调查数据采用极大似然法对模型进行了参数估计，并采用贝叶斯网络推理方法验证模型精度。结果表明，该模型能较全面地考虑居民出行选择的影响因素，模型精度较高。
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| 关 键 词： | 出行方式 贝叶斯网络 参数估计 推理 |
Traffic Mode Option Model Based on Bayesian Network |
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| ZHU Wei,GUO Xiucheng,HE Ming,RAN Jiangyu,LIU Chaoping.Traffic Mode Option Model Based on Bayesian Network[J].Computer and Communications,2010,28(1):99-103. |
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| Authors: | ZHU Wei GUO Xiucheng HE Ming RAN Jiangyu LIU Chaoping |
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| Institution: | (Transportation College, Southeast University, Nanjing 210096, China) |
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| Abstract: | The paper takes resident trip option as the object of study, analyzes the related factors affecting resident trip mode option, and establishes an option model of traffic mode based on Bayesian network. Moreover, the model parameters are calibrated based on maximum likelihood estimation by using the investigation data of Suzhou City. Furthermore, the precision of the model is verified by Bayesian network inference. The results show that the model can consider more factors affecting the resident travel mode choice, and can help to improve the practicalitv of the model. |
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| Keywords: | trip mode Bayesian network parameter calibration inference |
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