| 基于贝叶斯网络的停车行为分析 |
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| 引用本文： | 宗芳,张慧永,隽志才.基于贝叶斯网络的停车行为分析[J].系统工程理论与实践,2010,30(5):948-955. |
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| 作者姓名： | 宗芳 张慧永 隽志才 |
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| 作者单位： | 1. 吉林大学,交通学院,长春,130022
2. 上海交通大学,安泰经济与管理学院,上海,200052 |
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| 基金项目： | 国家自然科学基金，高等学校博士学科点专项科研基金，吉林大学基本科研业务费项目 |
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| 摘 要： | 建立贝叶斯网络模型进行停车行为分析.应用K2算法和贝叶斯参数估计方法,进行了贝叶斯网络的结构和参数学习,建立了停车行为分析贝叶斯网络,应用联合树推理引擎推断在出行目的、停车费率等因素的影响下停车行为的变化.结果表明,贝叶斯网络能够直观表现决策行为与其影响因素之间的交互作用机理,并方便进行决策行为的敏感性分析,同时模型具有较高的精确度.可以为政府和规划部门深入了解居民的停车选择行为和停车决策机理提供依据.
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| 关 键 词： | 贝叶斯网络 停车行为 K2算法 非集计模型 |
Bayesian network-based parking behavior analysis |
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| ZONG Fang,ZHANG Hui-yong,JUAN Zhi-cai.Bayesian network-based parking behavior analysis[J].Systems Engineering —Theory & Practice,2010,30(5):948-955. |
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| Authors: | ZONG Fang ZHANG Hui-yong JUAN Zhi-cai |
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| Institution: | ZONG Fang~1,ZHANG Hui-yong~1,JUAN Zhi-cai~2 (1.College of Traffic,Jilin University,Changchun 130022,China,2.College of Antai Economics & Management,Shanghai Jiaotong University,Shanghai 200052,China) |
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| Abstract: | In this paper,a Bayesian network was developed to analyze the parking behavior.A Bayesian network for parking behavior analyzing was built by structure and parameter learning,using K2 method and Bayesian method respectively.The influences of some factors,such as the trip purpose and the parking fee,on the parking behavior were computed using the junction tree engine.The results indicate that the Bayesian network can express the coupling mechanism between the decision behavior and the influencing factors vis... |
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| Keywords: | Bayesian network parking behavior K2 method disaggregated model |
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