With the continuous development of economy, the number of motor vehicles has increased sharply, and urban traffic congestion has become more and more frequent. Urban traffic congestion has become one of the important reasons that hinder the continuous development of major cities. In order to better solve the problem of urban traffic congestion, it is more urgent to build urban intelligent transportation system. The technology related to Internet of things is becoming more and more mature, which has become a new idea of collecting traffic information, providing convenience for traffic, and injecting vitality into the study of intelligent transportation layout. The traffic system in the city or the main traffic intersection, through the traffic guidance layout road, provides the traffic instruction for the passenger on the highway network, enables the driver to choose the suitable driving road, can provide the travel guidance service for the driver, adjusts the flow distribution, and improves the traffic condition. This paper describes the research status of intelligent transportation layout and uses the basic theory of compressed sensing and information interaction technology to carry out data fusion and reconstruction algorithm in intelligent transportation. Finally, the application of compressed sensing in intelligent transportation layout is summarized to realize data collection in intelligent transportation network. In this paper, compressed sensing theory is applied to the data acquisition of intelligent transportation network to reduce the amount of data and improve the effective data acquisition. The reconstruction algorithm is used to realize the data reconstruction to ensure the accuracy and stability of signal reconstruction and the accuracy of network transmission information.

中文翻译：

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物联网压缩感知与信息交互技术在智能交通布局中的应用

随着经济的不断发展，机动车数量急剧增加，城市交通拥堵也越来越频繁。城市交通拥堵已成为阻碍大城市持续发展的重要原因之一。为了更好地解决城市交通拥堵问题，建设城市智能交通系统显得尤为迫切。与物联网相关的技术越来越成熟，已成为收集交通信息，为交通提供便利，为智能交通布局研究注入生命力的新思路。城市或主要交通路口的交通系统，通过交通引导布置道路，为高速公路网络上的乘客提供交通指示，使驾驶员能够选择合适的行驶道路，为驾驶员提供出行指导服务，调节流量分配，改善交通状况。本文介绍了智能交通布局的研究现状，并利用压缩感知和信息交互技术的基本原理，进行了智能交通中的数据融合与重构算法。最后，总结了压缩感知技术在智能交通布局中的应用，以实现智能交通网络中的数据采集。本文将压缩感知理论应用于智能交通网络的数据采集中，以减少数据量，提高有效数据采集的效率。