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罗方法的个人代表活动旅行模式的模拟

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This Individual's representative activity-travel pattern is the foundation of analyzing travel time, space and mode. Based on the actual data of 2004's 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 worker's 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 groups' activity-travel characteristics.

机译：该个人代表活动旅行模式是分析旅行时间，空间和模式的基础。根据2004年驻华的一家大都市居民旅行调查的实际数据，通过使用系统的集群分析，数千名公民分为代表活动 - 旅行模式的团体，根据代表性的社会经济属性和活动旅行特征。通过使用Monte Carlo方法，每个人都以代表性的活动 - 旅行模式赋予，并且进行了整个城市居民的活动行程模式的模拟。结果表明，全时工人的活动链和实际比率的仿真比的最大偏差为3.88％。正明示威认为，基于系统集群分析和蒙特卡罗方法的个体代表性活动行程模式的示范是获得分类组活动行程特征的有效方法。

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《International Conference on Engineering Computation》|2009年||共4页
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作者
Min Yang; Wei Wang; Xuewu Chen; Xianyao Hou;
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中图分类 TP3-53;
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Activity-travel pattern; Cluster analysis; Monte Carlo simulation;

机译：活动旅行模式;集群分析;蒙特卡罗模拟;

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Simulation of Individual's Representative Activity-travel Pattern based on Cluster Analysis and Monte Carlo Method

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