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

教师早期职业发展（Career）计划奖的目标是为交通科学的新领域奠定基础，该领域利用并解决使用移动交通传感器进行交通知识提取和动态系统管理的挑战。本研究将研究如何使用广泛部署的移动传感器的基本问题：(i)估计/预测主干道网络上的交通状态；（ii）在正常和灾后情况下发现新的交通知识和行为；（iii）利用从移动传感器获得的知识开发基于路径的动态网络管理策略。这项研究将开发一个基于移动数据的建模框架，这将丰富当前基于固定位置传感器的建模技术。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，明确考虑多个均衡和来自移动传感器的实时信息，这将连接各个领域，如优化、网络建模和控制理论。该研究项目有望将当前的交通数据收集和建模模式从基于固定位置传感器的模式转变为基于移动传感器的模式，并将帮助政策制定者和行业就如何将移动数据最佳地用于知识提取和交通系统管理做出明智的决策。该项目将开发新的教育工具，将基于项目的学习整合到土木工程课程中，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，向包括大学和K-12学校的学生，特别是少数民族大学的学生在内的广泛受众传播研究和教育成果。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，以便研究能够解决广泛的问题，并将研究结果应用于交通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.