CAREER: Improved Continuum Models of Vehicular Traffic Flow

项目编号：9984239项目名称：改进的车辆交通流连续体模型项目摘要：本研究旨在扩大对车辆交通流中各种关键现象的理解，并发展改进的理论模型。交通流由异质智能“粒子”——由不同人驾驶的车辆组成，呈现出复杂的动态模式。虽然交通流的某些方面，如冲击波，已经被很好地理解，并支持众所周知的运动波交通流理论，但许多其他对交通流应用至关重要的现象还没有被很好地理解。这些包括层流到走走停停的流动转换、走走停停的波和虚幻的交通堵塞。本研究建议：(1)更好地理解上述关键现象的本质；(2)发展改进的交通理论来模拟这些现象；(3)将发展的理论应用于更好地管理交通拥堵和减少车辆排放。在研究中，仔细检查了实验证据，并仔细审查了交通流理论的过去发展，以获得对驾驶员行为的见解和新理论发展的可能方向。然后，基于对驾驶员行为和现有理论的充分理解，经过严格分析和实验数据的仔细验证，开发改进的理论。本研究的成功将有助于更好地理解交通流，并大大提高对交通流的监测、建模和控制能力。这些进步反过来导致更有效地利用现有的道路基础设施和更好的空气质量规划。

PI: Michael H. Zhang, University of California, Davis Proposal Number: 9984239 Proposal Title:Improved Continuum Models of Vehicular Traffic Flow Project Abstract: This research seeks to expand the understanding of various critical phenomena in vehicular traffic flow and develops improved theories to model them. Comprising of heterogeneous intelligent "particles" -vehicles driven by diverse people, traffic flow exhibits complex dynamic patterns. Although some aspect of traffic flow, such as shock waves, is well understood and supports the well known traffic flow theory of kinematic waves, many other phenomena that are critical to traffic flow applications are not well understood. These include the laminar flow to stop-and-go flow transitions, stop-start waves, and phantom traffic jams. This research proposes to 1) better understand the nature of the aforementioned critical phenomena, 2) develop improved traffic theories to model these phenomena, and 3) apply the developed theories to better manage traffic congestion and reduce vehicle emissions. In the research, experimental evidence is carefully examined and past developments of traffic flow theory are scrutinized to gain insights on driver behavior and possible directions of new theory development. Improved theories are then developed based on a sound understanding of both driver behavior and existing theories, rigorously analyzed and carefully validated with experimental data. The success of this research can lead to a better understanding of traffic flow and greatly increase the ability to monitor, model and control traffic flow. These advances in turn lead to more efficient use of existing road infrastructure and better air quality planning.