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Short-Term Traffic Flow Forecasting Based on Grey Delay Model

机译:基于灰色延迟模型的短期交通流量预测

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摘要

Under the real circumstances of traffic flow's grey features and traffic system's delay effect, this paper construct a grey delay model (GA/(I,1, r) model) and investigate relevant properties, Finally, we complete a traffic experiment on the section of Youyi Avenue, estimate the delay time of the system and establish the delay model. The comparison between the delay model with the GM(1,1) model without considering practical conditions of the traffic system shows that incorporating existing delay effect of the traffic system into the model can reasonably reflect the characteristics of the system and provide satisfactory predictions.
机译:在实际交通流的灰色特征和交通系统的延误效应的实际情况下,本文构建了灰色延误模型(GA /(I,1,r)模型)并研究了相关属性,最后,完成了交通流的灰色部分试验。在友谊大道,估算系统的延迟时间并建立延迟模型。在不考虑交通系统实际条件的情况下,将延迟模型与GM(1,1)模型进行比较,结果表明,将现有的交通系统延迟效应纳入模型可以合理地反映系统的特征并提供令人满意的预测。

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