交通信息预测改进算法研究

Dakai Yang, Li Wang, Jian Wang, Cai Baigen
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引用次数: 0

摘要

交通状况预测,特别是短期预测,是交通信息仿真与控制相关研究与实践的中心课题之一。然而,为某一特定应用选择最合适的流量预测方法并不容易。本文选取了该领域两种典型的方法,并对其优缺点进行了比较。在此基础上,我们提出了一种改进的算法来结合这些方法的优点。为了证明该方法的效果,本文还采用了一些实际数据进行了计算和仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on improved algorithm for traffic information prediction
Predictions for traffic conditions, especially short-term prediction, is one of the central topics in traffic information simulation and controlling relevant research and practice. However, it is not easy to select the most appropriate traffic prediction method for one particular application. In this paper we select two typical methods in this field, then compared about the advantages and disadvantages. Based on this, we provide an improved algorithm to combine the advantages of these methods. To prove the effects, some real data were adopted for the calculation and simulation which were also shown in this paper.
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