User-Centric Sensing and Distributed Control of Corridor Transportation Networks

这项研究研究了由高速公路和主干道组成的交通走廊在互联车辆(CV)环境下的行为和性能，在这种环境中，配备了无线通信和传感设备的车辆与路边传感器一起收集、处理和共享交通信息。首先，将探索融合/组合来自车辆和路边传感器的实时交通数据的方法，以自动检测事件(例如，事故)，估计排队的汽车数量，并填充包含从起点到目的地的行程数量的表格。其次，这项研究研究了拥堵，特别是交通拥堵是如何出现和蔓延的，以及这些信息如何帮助司机应对拥堵。最后，本研究利用前两个任务所取得的成果，探索能够自适应地协调控制高速公路匝道计时器和附近主干道交通灯，以及根据交通事件改变交通路线的算法。如果研究成功，本研究的结果将有助于更好地了解走廊网络中的交通拥堵情况，以及监控车辆交通的新方法。这些可以使应用程序具有显著的社会效益，例如减少交通拥堵和燃料消耗。这项研究的结果还将通过介绍和小册子以及其他方式向公共机构(如交通部)和公众传播。本研究处于车辆交通流和计算机网络的交叉点，希望有助于理解基于走廊的交通网络的工作原理，并为参与其中的学生提供跨学科的培训。少数族裔研究生和本科生将通过加州大学戴维斯分校的CAMP(加州少数族裔参与联盟)等大学级别的少数群体项目被招募参与这一项目。

This research studies the behavior and performance of a transportation corridor made of a freeway and arterial streets under a Connected Vehicles (CV) environment, where vehicles equipped with wireless communication and sensing devices collect, process, and share traffic information among themselves along with roadside sensors. First, methods of fusing/combining real-time traffic data from both vehicles and roadside sensors will be explored to automate the detection of incidents (e.g., accidents), to estimate the number of cars waiting in line and to populate the tables that contain the number of trips from origins to destinations. Second, the research studies how congestion, particularly traffic jams, emerge and spread, and how this information can help drivers cope with congestion. Finally, the research makes use of the results obtained from the first two tasks to explore algorithms that will enable the adaptive, coordinated control of freeway ramp meters and nearby arterial traffic lights, and the re-routing of traffic in response to traffic incidents.If successful, the results of this research will lead to a better understanding of traffic congestion in corridor networks and new ways to monitor and control vehicular traffic. These can enable applications with significant societal benefits such as reduced traffic congestion and fuel consumption. The results of this research will also be disseminated to public agencies (such as Departments of Transportation (DOTs)) and the general public through presentations and brochures, and other means. This research is at the intersection of vehicular traffic flow and computer networks, it is expected to contribute to the understanding of how corridor based transportation networks work, and provides interdisciplinary training to the students involved. Minority graduate and undergraduate students will be recruited to participate in this project through college-level minority programs such as CAMP (California Alliance for Minority Participation) at the University of California Davis.