CPS: Synergy: Collaborative Research: A Cyber Physical System for Proactive Traffic Management to Enhance Mobility and Sustainability

该项目展示了由智能手机设备、云计算、无线通信和智能交通系统组成的网络物理基础设施的协同使用，通过使用交通控制、路线规划和道路定价来管理复杂城市网络中的车辆，以共同优化驾驶员的流动性和减少能源使用和改善空气质量的可持续性目标。该系统开发，MIDAS-CPS，积极主动地管理相互作用的交通需求和可用的交通供应。MIDAS-CPS的一个关键元素是数据收集和显示设备PICT，它收集每个参与驾驶员的车辆位置、来自车辆仪表盘的前方图像和通信时间戳，然后显示预测前方排队、相关道路价格和路线示意图的可视化。鉴于大多数城市地区日益严重的拥堵，以及建设交通控制设施和实施公路硬件的成本不断上升，MIDAS-CPS可以彻底改变城市网络上的交通管理方式，因为所有计算都是通过云完成的，司机可以立即进入-具有预测条件的图形可视化的车辆模型。预计这将导致改善道路安全和更小的驾驶压力，除了对环境，能源消耗，缓解拥堵和驾驶员流动性的设计好处。这个多学科项目在几个领域处于领先地位：实时图像处理，实时交通预测和供应/需求管理以及云计算。其教育影响包括参与大学的课程和实验室经验的增强，劳动力发展和学生多样性。

This project demonstrates the synergistic use of a cyber-physical infrastructure consisting of smart-phone devices; cloud computing, wireless communication, and intelligent transportation systems to manage vehicles in the complex urban network -- through the use of traffic controls, route advisories and road pricing -- to jointly optimize drivers' mobility and the sustainability goals of reducing energy usage and improving air quality. The system developed, MIDAS-CPS, proactively manages the interacting traffic demand and the available transportation supply. A key element of MIDAS-CPS is the data collection and display device PICT that collects each participating driver's vehicle position, forward images from the vehicle's dashboard, and communication time stamps, and then displays visualizations of predicted queues ahead, relevant road prices, and route advisories.Given the increasing congestion in most of the urban areas, and the rising costs of constructing traffic control facilities and implementing highway hardware, MIDAS-CPS could revolutionize the way traffic is managed on the urban network since all computing is done via clouds and the drivers instantly get in-vehicle advisories with graphical visualizations of predicted conditions. It is anticipated this would lead to improved road safety and lesser drive stress, besides the designed benefits on the environment, energy consumption, congestion mitigation, and driver mobility. This multidisciplinary project is at the cutting edge in several areas: real-time image processing, real-time traffic prediction and supply/demand management, and cloud computing. Its educational impacts include enhancements of curricula and laboratory experiences at participating universities, workforce development, and student diversity.