CAREER: System-wide Traffic Condition Monitoring and State Estimation for Intelligent Transportation Systems

职业：智能交通系统的全系统交通状况监测和状态估计

• 批准号: 0134025
• 负责人: Billy Williams
• 金额: $ 37.5万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-06-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0134025&HistoricalAwards=false
• 关键词: CAREER; System; wide; Traffic; Condition

Traffic congestion continues to be one of the most pressing problems facing urban America. Intelligent transportation systems (ITS) provide the systems perspective needed for sustainable solutions to urban mobility problems. During the final decade of the 20th century, hundreds of millions of dollars were invested in ITS surveillance, detection, and traveler information technologies. In this first generation ITS there remains a largely untapped potential to exploit the wealth of remotely sensed data for automated, time critical management and control. Multi-scale system-wide forecasting and state estimation is required for next generation ITS to support proactive rather than reactive transportation system management. This career development plan will provide an integrated research and education framework for system-wide traffic condition monitoring and state estimation for intelligent transportation systems. Research activities will include: (1) development of a system-wide ITS traffic condition monitoring and forecasting framework, (2) seasonal ARIMA based Kalman filtering for univariate forecasts, (3) application of continuum traffic flow theory to one-step system forecasts, and (4) continuum theory-based incident detection, missing data estimation, and shock wave propagation prediction. The first research activity is broad in scope and will provide a typological focus for ITS forecasting research and guidance for new course development and course enhancements to support the education and training of 21st century ITS practitioners and researchers. Specific educational activities will include (1) undergraduate course development and enhancement to increase student exposure to information technologies and infrastructure sustainability, (2) development of a new traffic flow theory course directly linked with ITS research activities, (3) involvement of undergraduates in ongoing ITS research activities through interdisciplinary research teams under graduate student leadership, and (4) active recruitment of students from traditionally underrepresented groups through various programs aimed at incoming students and graduate school candidates.These research and educational activities will be built and integrated around a new campus traffic operation center and ITS lab. The lab will provide direct access to system-wide traffic condition data and full motion surveillance video. This ready access to system-wide data will greatly enhance the research and graduate education efforts. Special emphasis will be placed on exposing undergraduates to ITS research and development through course projects and undergraduate participation in ITS research teams. The ITS lab will also serve as a showcase for student recruitment, including efforts to attract women and underrepresented minorities to civil engineering.

交通拥堵仍然是美国城市面临的最紧迫的问题之一。 智能运输系统（ITS）提供了可持续解决城市流动性问题所需的系统观点。在20世纪的最后十年中，其监视，检测和旅行者信息技术投资了数亿美元。在第一代中，它仍然存在很大程度上未开发的潜力，可以利用远程感知的数据进行自动化，时间批判性管理和控制。下一代需要多个系统范围的预测和状态估计，以支持主动而不是反应性运输系统管理。 该职业发展计划将为智能运输系统的全系统交通状况监控和州估计提供一个综合的研究和教育框架。 研究活动将包括：（1）开发系统范围的交通状况监控和预测框架，（2）基于季节性Arima的Kalman基于Kalman的滤波，以进行单变量预测，（3）将连续交通流理论应用于单步系统预测，以及（4）基于连续理论的事件检测，缺失的数据估计，缺失的数据估计和冲击波估算。 首次研究活动的范围广泛，将为其预测研究和指导提供新课程开发和课程增强的指导，以支持21世纪其从业人员和研究人员的教育和培训。 具体的教育活动将包括（1）本科课程的发展和增强，以增加学生对信息技术和基础设施可持续性的接触，（2）开发新的交通流理论课程与其研究活动直接相关的新交通流理论课程，（3）本科生参与其在研究中，通过跨学科研究团队的研究团队在研究团体中持续的研究团队的企业和4）企业的研究团体的涉及（4）学生的跨学科研究团队（4）招聘的各个方面，以及4）4）招聘的招聘，以及4）4）4）招募了（4）4）即将到来的学生和研究生院的候选人。这些研究和教育活动将在新的校园交通运营中心及其实验室围绕。该实验室将直接访问系统范围的交通状况数据和全运动监视视频。这种准备访问全系统数据将大大增强研究和研究生教育的工作。特别强调将通过课程项目和本科参与其研究团队的研究和开发揭露本科生的研究和发展。 它的实验室还将作为学生招募的展示，包括吸引妇女和代表性不足的少数民族的努力。