NeTS: Large: Collaborative Research: Closing the loop between traffic/pollution sensing and vehicle route control using traffic lights and navigators

今天，大多数城市的交通控制是初级的：在较小的城市，许多交通信号仍然是孤立的，虽然大多数较大的城市有集成的信号系统，他们仍然没有动态定时响应实时车辆信息。拥堵费作为一种交通管理工具越来越受欢迎，它通常基于历史交通数据，而不是动态变化以反映瞬时状况。通信、导航和传感器技术的最新进展为提高大都市街道的智能化和效率提供了比现在更多的机会。本项目的重点是为未来的“智能”大都市交通管理设计一个实时网络化传感和驱动平台，目的是同时减少拥堵、污染和旅行者延误。拟议的绿色城市智能交通体系结构的关键要素是能够在交通/污染传感和交通控制之间实现“闭环”;这是一个通过中央交通管理和驾驶员之间的激励合作实现的系统。在这种合作中，“智能”交通信号和车载导航仪发挥了关键作用。交通信号感测交通特征和车辆排放，从车辆传感器收集数据，并向车载导航器广播交通规则、路线和限制。车载导航器会根据驾驶员的偏好、当地感知的交通状况和信号灯时间来选择最佳路线。所有这一切都是通过从3G通道到DSRC无线电的高效车辆到道路基础设施通信实现的。更广泛的影响：这个项目是高度跨学科的;它受益于计算机科学、大气科学和城市规划教师和学生的合作和专业知识。该项目的多学科性质将带来新的教育机会。

Today, most urban traffic control is rudimentary: in smaller cities, many traffic signals remain isolated, and while most larger cities have integrated systems of signals, they are still not dynamically timed in response to real-time vehicle information. Congestion fees, which are increasingly popular as a traffic management tool, are usually based on historical traffic data rather than varying dynamically to reflect instantaneous conditions. Recent advances in communication, navigation, and sensor technologies present far more opportunities to increase the intelligence and efficiency of metropolitan streets than are in place today.This project focuses on designing a real-time networked sensing and actuation platform for future 'intelligent' metropolitan traffic management with the aim of simultaneously reducing congestion, pollution, and traveler delays. The pivotal element of the proposed Green City intelligent transport architecture is the ability to 'close the loop' between traffic/pollution sensing and traffic control; a system achieved through an incentivized collaboration between the central traffic management and the drivers. In this collaboration, the 'intelligent' traffic signals and the on-board navigators play key roles. Traffic signals sense traffic characteristics and vehicular emissions, collect data from vehicle sensors, and broadcast traffic advisories, routings, and restrictions to on-board navigators. The on-board navigators choose optimal routings taking into account drivers' preferences, local perceived traffic, and signal timing. All this is enabled by efficient vehicle to roadway infrastructure communications from 3G channels to DSRC radios.Broader Impact: This project is highly interdisciplinary; it benefits from the collaboration and expertise of computer science, atmospheric science, and urban planning faculty and students. New education opportunities will result from the multidisciplinary nature of the project.