Renninger Andrew, Ameen Noman Sinan, Atkison Travis, Sussman Jonah
Computer Science, College of Engineering, University of Alabama, Tuscaloosa, AL 35401, USA.
Sensors (Basel). 2024 May 24;24(11):3392. doi: 10.3390/s24113392.
Real-time traffic signal acquisition and network transmission are essential components of intelligent transportation systems, facilitating real-time traffic monitoring, management, and analysis in urban environments. In this paper, we introduce a comprehensive system that incorporates live traffic signal acquisition, real-time data processing, and secure network transmission through a combination of hardware and software modules, called LIDATS. LIDATS stands for Live Intersection Data Acquisition for Traffic Simulators. The design and implementation of our system are detailed, encompassing signal acquisition hardware as well as a software platform that is used specifically for real-time data processing. The performance evaluation of our system was conducted by simulation in the lab, demonstrating its capability to reliably capture and transmit data in real time, and to effectively extract the relevant information from noisy and complex traffic data. Supporting a variety of intelligent transportation applications, such as real-time traffic flow management, intelligent traffic signal control, and predictive traffic analysis, our system enables remote data analysis and decisionmaking, providing valuable insights and enhancing the traffic efficiency while reducing the congestion in urban environments.
实时交通信号采集与网络传输是智能交通系统的重要组成部分，有助于在城市环境中进行实时交通监测、管理和分析。在本文中，我们介绍了一个综合系统，该系统通过硬件和软件模块的组合，实现了实时交通信号采集、实时数据处理和安全网络传输，称为LIDATS。LIDATS代表用于交通模拟器的实时交叉路口数据采集。我们详细介绍了系统的设计与实现，包括信号采集硬件以及专门用于实时数据处理的软件平台。我们通过实验室模拟对系统进行了性能评估，证明了它能够实时可靠地捕获和传输数据，并能有效地从嘈杂复杂的交通数据中提取相关信息。我们的系统支持多种智能交通应用，如实时交通流量管理、智能交通信号控制和预测性交通分析，能够实现远程数据分析和决策，提供有价值的见解，提高交通效率，同时减少城市环境中的拥堵。
