求翻译：通过对短时交通流预测方法进行分析，发现实时性较差，无法实现在线预测。针对此问题，提出了基于自适应移动窗的BP神经网络算法对短时交通流进行预测。通过实验比较，结果表明该方法的预测精度较高，保证用于信号控制的数据具有实时性和准确性。是什么意思？

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A short time traffic flow projections is made when the realities of analysis, is poor, not be able to meet the forecast line. For this issue, based on adaptive mobile window BP neural network algorithms to short the traffic forecast. Through the lab simulations comparison, the method of the results

Through flows the forecast method to the short-time transportation to carry on the analysis, discovered timeliness is bad, is unable to realize the online forecast.In view of this question, proposed carries on the forecast based on the auto-adapted motion window BP neural network algorithm to the sh

Through analysis of the short-term traffic flow forecasting method, found that real-time, online predictions could not be achieved. To solve this problem, is proposed based on the BP neural network algorithm for Adaptive Mobile window on short time traffic flow prediction. Comparison of simulation b

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