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Development of a Traffic Demand Prediction Model for a Transport Corridor Based on Multivariate Regression Analysis

机译:基于多元回归分析的交通走廊交通需求预测模型开发

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摘要

In general, traffic demand regression analysis is conducted independently on a certain path of transport corridor with little consideration about the effects from other adjacent paths which have the same directions. Separate multivariate linear regression analysis and that of multiple dependent variables are conducted respectively based on research data of two paths of traffic corridor between Shenyang and Shanhaiguan. Analysis results indicate that associative regression prediction has higher accuracy than separate regression prediction. Research results of this paper provide a more accurate theoretical calculation method for transport corridor traffic demand prediction in practical engineering projects.
机译:通常,交通需求回归分析是在运输走廊的某个路径上独立进行的,很少考虑来自具有相同方向的其他相邻路径的影响。基于沉阳至山海关之间交通走廊两条路径的研究数据,分别进行了多元线性回归分析和多元因变量分析。分析结果表明,关联回归预测比单独的回归预测具有更高的准确性。本文的研究结果为实际工程项目中交通走廊交通需求的预测提供了一种更准确的理论计算方法。

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