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基于多变量决策树交通事件持续时间预测模型

DOI: 10.3969/j.issn.1674-0696.2015.03.23, PP. 112-116

Keywords: 交通工程,持续时间,粗糙集,多变量决策树,预测,trafficengineering,duration,roughset,multivariabledecisiontree,predication

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Abstract:

:?基于粗集理论和决策树方法,建立了交通事件持续时间的多变量决策树预测模型。通过分析交通事件的属性特点,运用粗集理论中的属性约简方法,确定了交通事件的核心属性;运用等价关系相对泛化原理构造了多变量组合检验,并根据变量依赖度确定了最优变量组合;以多变量组合判据代替单变量判据建立了决策树模型,利用决策树高度和节点样本数对树的规模进行控制,优化了决策树结构。实例应用表明,该模型对交通事件持续时间的分类和预测能力较强,预测精度较高。

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