Theory and practice of establishing optical fiber baseline field

He, Shaoming; Sidong, Zhong; Yu, Mengmeng

doi:10.1117/12.401799

Cited by 1 publication

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“…It is always the research difficult point. In summary, the forecasting model of short-term traffic flow is divided into two categories: statistics forecasting models [1] [2] and artificial intelligence forecasting models [3] [4]. In statistics forecasting models, time series model and history average model are relatively simple and short precision, Kaman filtering model has high precision but huge calculated quantity.…”

Section: Introductionmentioning

confidence: 99%

Forecasting Model of Short-Term Traffic Flow Based on Cloud Model

Liu

2011

AMM

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In order to improve the prediction precision of the short-term traffic flow, a prediction method of short-term traffic flow based on cloud model was proposed. The traffic flow was fit by cloud model. The history cloud and the present cloud were built by historical traffic flow and present traffic flow. The forecast cloud is produced by both clouds. Then, combining with the volume of the short-term traffic flow of an intersection in Guangzhou City, the model was calculated and simulated through programming. Max Absolute Error (MAE) and Mean Absolute percent Error (MAPE) were used to estimate the effect of prediction. The simulation results indicate that this prediction method is effective and advanced. The change of the historical and real time traffic flow is taken into account in this method. Because the short-term traffic flow is dealt with as a whole, the error of prediction is avoided. The prediction precision and real-time prediction are satisfied.

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Section: Introductionmentioning

confidence: 99%

Forecasting Model of Short-Term Traffic Flow Based on Cloud Model

Liu

2011

AMM

View full text Add to dashboard Cite

show abstract

Theory and practice of establishing optical fiber baseline field

Cited by 1 publication

References 0 publications

Forecasting Model of Short-Term Traffic Flow Based on Cloud Model

Forecasting Model of Short-Term Traffic Flow Based on Cloud Model

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