Research on highway CPS-T of wide area communication and data cloud

R. Lou, Jiacheng Zhang, Lei Zhang, Q. Hong, Yueqi Zhou, Xinghua Li
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Abstract

Cyber physical transportation system (CPS-T) is a traffic perception, control and service system based on algorithm, model, data and computing power. With the help of radar point cloud, video image, GNSS, sensor and other types of monitoring equipment, the highway data can be collected with high quality and transmitted with high reliability under the condition of relatively complete communication conditions. This paper studies the technical application of CPS-T for highways. Through the deployment of communication technology and data cloud platform, it can intelligently perceive and analyze dynamic and static operation data, accurately identify or predict key ramps, bottleneck sections and mainstream traffic channels, and dynamically implement active control strategies such as ramp control, shoulder control, lane control and rate adjustment, so as to realize the advance guidance and control of highway traffic flow. The relevant research has been measured in the highway sections of Shanghai and Zhejiang Province, and the research results have strong engineering reference value.
高速公路CPS-T广域通信与数据云研究
网络物理交通系统(CPS-T)是基于算法、模型、数据和计算能力的交通感知、控制和服务系统。借助雷达点云、视频图像、GNSS、传感器等各类监控设备,在通信条件相对完备的情况下,实现高速公路数据的高质量采集和高可靠性传输。本文研究了CPS-T在高速公路上的技术应用。通过通信技术和数据云平台的部署,对动态和静态运行数据进行智能感知和分析,准确识别或预测关键匝道、瓶颈路段和主流交通通道,动态实施匝道控制、肩路控制、车道控制、费率调整等主动控制策略,实现公路交通流的超前引导和控制。相关研究已在上海市和浙江省的高速公路路段进行了实测,研究成果具有较强的工程参考价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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