CAREER: Using Mobile Sensors for Traffic Knowledge Extraction and Dynamic Network Management

教师早期职业发展（CAREER）计划奖的目标是发展基础的交通科学的一个新领域，利用，并解决使用移动的交通传感器的交通知识提取和动态系统管理的挑战。本研究将研究的基本问题，如何使用广泛部署的移动的传感器（一）估计/预测交通状态的干线网络;（二）发现新的交通知识和行为下正常和灾后的情况;和（三）开发基于路径的动态网络管理策略，利用从移动的传感器获得的知识。这项研究将开发一个移动数据为基础的建模框架，将丰富目前的固定位置传感器为基础的建模技术。它还将开发基于路径的动态网络管理策略的理论、模型和算法，明确考虑来自移动的传感器的多重均衡和真实的时间信息，这将桥接优化、网络建模、该研究项目有望将目前的交通数据采集和建模从基于固定位置传感器转变为基于移动传感器，基于范例，并将帮助政策制定者和行业作出明智的决定，如何移动的数据可以最好地用于知识提取和交通系统管理。该项目将通过将基于项目的学习纳入土木工程课程来开发新的教育工具，并将开发短期课程和研究研讨会，以促进学术界，政府机构和工业界之间的交流。这项工作将开展外联活动，向广大受众传播研究和教育成果，包括大学和K-12学校的学生，特别是少数民族大学的学生。该项目还将使用一个由多学科背景的成员组成的外部咨询小组，以便研究能够解决一系列广泛的问题，并将结果应用于运输以外的其他领域。

The objective of the Faculty Early Career Development (CAREER) program award is to develop the foundations for a new area of transportation science that takes advantage of, and addresses the challenges of using mobile traffic sensors for traffic knowledge extraction and dynamic system management. This research will study the fundamental questions of how to use widely-deployed mobile sensors for (i) estimating/predicting traffic states on arterial networks; (ii) discovering new traffic knowledge and behaviors under normal and post-disaster situations; and (iii) developing path-based dynamic network management strategies utilizing the knowledge obtained from mobile sensors. This research will develop a mobile-data-based modeling framework that will enrich current fixed-location-sensor-based modeling techniques. It will also develop theories, models, and algorithms for path-based dynamic network management strategies, with explicit consideration of multiple equilibria and real time information from mobile sensors, which will bridge various fields such as optimization, network modeling, and control theory.This research project is expected to transform current traffic data collection and modeling from a fixed-location-sensor-based to a mobile-sensor-based paradigm and will help policy makers and industry make informed decisions on how mobile data can be best used for knowledge extraction and traffic system management. This project will develop new educational tools by integrating project-based learning in the civil engineering curriculum and will develop short courses and research seminars that will foster the communication among academia, government agencies, and industry. This work will conduct outreach activities by disseminating research and education outcomes to a wide audience that includes students in universities and K-12 schools, and in particular students in minority universities. This project will also use an external advisory panel with members from multidisciplinary backgrounds so that the research can address a broad set of questions and apply the results to other fields beyond transportation.