首页> 外文会议>Engineering Computation, 2009. ICEC '09 >Simulation of Individual's Representative Activity-Travel Pattern Based on Cluster Analysis and Monte Carlo Method
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Simulation of Individual's Representative Activity-Travel Pattern Based on Cluster Analysis and Monte Carlo Method

机译:基于聚类分析和蒙特卡洛方法的个人代表活动-出行方式的仿真

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This Individualpsilas representative activity-travel pattern is the foundation of analyzing travel time, space and mode. Based on the actual data of 2004psilas resident trip survey in one metropolis of north China, by using the systematic cluster analysis, thousands of citizens are divided into groups with representative activity-travel patterns according to representative social-economic attributes and activity-travel characteristics. By using the Monte Carlo method, every individual is endowed with a representative activity-travel pattern and the simulation of the activity-travel patterns of the whole urban residents is performed. The result shows that the maximum deviation of simulation ratio of full-time workerpsilas activity chain and actual ratio is 3.88%. It is the demonstration that simulation of individual representative activity-travel pattern based on systematic cluster analysis and Monte Carlo method is an effective way to gain the classified groupspsila activity-travel characteristics.
机译:这种个性代表的活动-旅行模式是分析旅行时间,空间和方式的基础。根据中国北方一个大城市2004psilas居民出行调查的实际数据,通过系统聚类分析,根据代表性的社会经济属性和活动-旅行特征,将数千名市民分为具有代表性的活动-旅行模式。通过使用蒙特卡洛方法,每个人都具有代表性的活动-旅行模式,并模拟了整个城市居民的活动-旅行模式。结果表明,全日制工人活动链模拟比率与实际比率的最大偏差为3.88%。证明了基于系统聚类分析和蒙特卡洛方法的个体代表活动-旅行模式的模拟是获得分类的团体活动-旅行特征的有效方法。

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