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Updated: May 5, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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Published on: February 25, 2013

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基于CART-Apriori方法对城市居民旅行方式选择的研究

Hui Song1, Xinxin Wang1, Wen Tian2,3

  • 1College of Air Transportation, Shanghai University of Engineering Science, Shanghai, 201620, China.

Scientific reports
|January 27, 2026
PubMed
概括

这项研究引入了一种新的CART-Apriori模型来预测城市旅行模式的选择,达到82.77%的准确性. 影响选择的关键因素包括距离,目的,汽车所有权和转移.

关键词:
一个先验的算法.这是一个CART模型.可解释的规则适合模型机器学习是机器学习.旅行模式 旅行模式

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