基于计算机数据算法模型的交通流数据分析

针对交通流数据分析滞后，交通规划效率不高等问题，提出了一种基于计算机数据算法模型的计算机数据算法数据分析方法，该方法采用基于S3C6410处理器的采集模块对影响交通流的数据进行采集或者分析，在进行数据信息采集时，还通过JZ863的无线传输模块实现数据信息传输，并通过神经网络算法模型提高了交通流数据信息分析能力。实验结果显示，本研究系统检测到发生故障的数据量数高达4735个，交通检测精度较高。

Traffic Flow Data Analysis Based on Computer Data Algorithm Model

Aiming at the problems of lagging traffic flow data analysis and low efficiency of traffic planning, a traffic flow data analysis method based on computer data algorithm model is proposed. This method uses the acquisition module based on S3C6410 processor to collect or analyze the data affecting traffic flow. When collecting data information, the data information is also transmitted through the JZ863 wireless transmission module, The analysis ability of traffic flow data is improved through neural network algorithm model. The experimental results show that the traffic detection of this research system is realized by using the parallel acceleration model. The time is the shortest, which is less than 30ms. The number of data that have detected failures is up to 4735, and the traffic detection accuracy is high.