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Research on Traffic State Prediction Modal of Intersection Entrance base on Discriminant Analysis

机译:基于判别分析的交叉区交通状态预测模型研究

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摘要

In accordance with vagueness and uncertainty of traffic state in intersection entrance, the paper chooses prediction influence indexes of traffic state in intersection entrance, including arriving rate, rank length, signal circle, saturation degree and lane amount, which is based on the comprehensive consideration of influence indexes of traffic state in entrance. Traffic state prediction modal of intersection entrance is obtained through survey sample data base on fisher discriminant analysis, meanwhile the modal is testified and verified by sample data, results show modal take advantage of predicting traffic state of intersection entrance by fisher discriminant method.
机译:根据交通态在交叉口入口处的模糊和不确定性,本文选择交通状态在交叉口入口处的预测影响指标,包括到达率,等级长度,信号圆,饱和度和车道数量,这是基于综合考虑影响入口处交通状态指标。通过对Fisher判别分析的调查样本数据基础获得交通状态预测模态,同时通过样本数据验证和验证模态,结果表明模态利用Fisher判别方法预测交叉口入口的交通状态。

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