基于物联网大数据技术的智慧公路研究

Research on intelligent highway based on big data technology of Internet of things

针对当前智慧公路研究方法未对公路数据进行归一化处理,导致智慧交通诱导时间较长、运行故障率较高的问题,提出基于物联网大数据技术的智慧公路研究方法。首先,对智慧公路交通信息感知进行分析,构建交通系统感知网络,完成智慧公路交通数据的采集;其次,对交通大数据进行归一化处理,保障交通状况预测的准确性;最后,结合得到的数据处理结果,从智慧运营和智慧养护两方面入手,构建基于物联网的智慧公路交通体系,完成智慧公路研究。实验结果表明,所提方法的智慧公路交通流预测值接近实际值,交通诱导时间平均在5min左右,远低于传统方法,公路运行故障率控制在10%以下,可有效保障智慧公路的顺利运行。

The current intelligent highway research method does not normalize the highway data, leads to the long time of the intelligent traffic induction and the high running failure rate. Aiming at above problem, it proposes a smart highway research method based on the large data technology of the Internet of things. It analyzes the perception of intelligent road traffic information, constructs the traffic system perception network, and completes the collection of large data of the intelligent road traffic. Then it normalizes the large traffic data to ensure the accuracy of the traffic condition prediction, combines the data processing results with the wisdom operation and wisdom, builds the intelligent highway transportation system based on the Internet of things. The experimental results show that the predicted value of the proposed method is close to the actual value, the average time of the traffic induction is about 5min, which is far lower than the traditional method. The failure rate of the highway operation can be controlled below 10%, which can effectively guarantee the smooth operation of the intelligent highway.