CAREER: Mining Archived Intelligent Transportation Systems Data: A Validation Framework for Improved Performance Assessment and Modeling

摘要职业生涯：挖掘智能交通系统存档数据：改进性能评估和建模的验证框架波特兰州立大学罗伯特·L·贝尔蒂尼我们交通基础设施的性能严重影响着我们国家的经济、安全、环境和生活质量。智能交通系统(ITS)是提高交通系统效率、安全性和可持续性的手段之一。这份职业建议书的任务是开发和评估使用基于基础设施的传感器、视频和动态浮动探头对其数据进行归档、挖掘和实时分析的方法。利用这些资源，我们将与当地交通机构发展伙伴关系，以建立数据档案；实施和测试改进的性能测量平台；通过对高速公路瓶颈行为的系统评估，扩大我们对交通流模型背后的基本交通流原理的理解；并开发改进的交通流模型和模型组件。反过来，我们将通过更好地了解模型不确定性传播来增强这些工具。研究议程将指导加强必修和选修的本科交通运输课程，纳入信息技术和使用真实交通数据的项目。此外，我们将开发专注于使用真实交通数据的新研究生课程，让本科生参与多学科研究团队，并扩大我们的本科土木工程专业研讨会和校园研讨会系列。这些活动将支持拟议的外联计划，其中包括为人数不足的高中生开设暑期交通学院，与俄勒冈州科学和工业博物馆合作，包括在新的技术大厅建造双语交通数据展览，以及吸引更多波特兰/俄勒冈州高中生进入科学和工程领域。这些综合活动的结果将在提高我们监测、模拟和评估我们的运输系统的能力方面发挥关键作用。这一点意义重大，因为在过去十年中，我们部署了交通监控和管理系统，但不包括对不断流入交通管理中心的遥感数据进行系统归档或挖掘。事实上，一些机构抛弃了这些丰富的资源。该项目旨在通过开发和测试性能衡量标准，利用仍未开发的数据对系统运行进行准确评估。希望这将导致对基本交通流现象的更好的理解，从而改进交通流建模。这对于预测未来的系统状态是必要的，以便可以应用和评估真正的控制措施。研究议程将提供指导和工具，以加强现有课程，开发新课程和课程模块，以支持对运输劳动力的新成员和现有成员，包括从业人员和研究人员的教育和培训。考虑到目前在满足劳动力需求和培养具有多学科背景的工程师和规划师方面的挑战，这一点意义重大。研究和教育活动将支持和加强拟议的外联活动，旨在提高交通运输项目的招生人数、质量和多样性，并吸引和留住来自不同背景和学习风格不同的学生进入科学和工程专业。

ABSTRACT CAREER: Mining Archived Intelligent Transportation Systems Data: A Validation Framework For Improved Performance Assessment And ModelingRobert L. Bertini, Portland State UniversityThe performance of our transportation infrastructure critically affects our nation's economy, security, environment and quality of life. Intelligent transportation systems (ITS) are one means for improving the efficiency, safety and sustainability of our transportation system. The mission of this career proposal is to develop and evaluate methods to archive, mine and analyze real-time ITS data, using infrastructure-based sensors, video and dynamic floating probes. Using these resources, we will develop partnerships with local transportation agencies to develop a data archive; implement and test an improved performance measurement platform; expand our understanding of basic traffic flow principles underlying models of traffic flow through systematic assessment of freeway bottleneck behavior; and develop improved traffic flow models and model components. In turn, we will enhance these tools with a greater understanding of model uncertainty propagation. The research agenda will guide the enhancement of required and elective undergraduate transportation courses, incorporating information technology and projects using real transportation data. Further, we will develop new graduate courses focused on the use of real transportation data, involve undergraduates in multidisciplinary research teams and expand our undergraduate civil engineering profession seminar and campus-wide seminar series. These activities will support the proposed outreach program which includes a summer transportation academy for underrepresented high school students, partnership with the Oregon Museum of Science and Industry including construction of a bilingual transportation data exhibit in the new Technology Hall and outreach to attract more Portland/Oregon high school students to science and engineering. The results of these integrated activities will play a pivotal role in improving our capabilities for monitoring, modeling and evaluating our transportation system. This is significant because over the past decade, we have deployed traffic surveillance and management systems, but have not included systematic archiving or mining of the remotely sensed data that continuously stream into traffic management centers. In fact, some agencies discard these rich resources. This project aims to exploit the still-untapped data for accurate assessment of system operation by developing and testing performance measures. It is hoped that this will lead to a better understanding of fundamental traffic flow phenomena, leading to improved traffic flow modeling. This is necessary for forecasting the future system state so true control measures can be applied and evaluated. The research agenda will provide guidance and tools for enhancing existing courses, developing new courses and course modules to support the education and training of new and current members of the transportation workforce, both practitioners and researchers. This is significant given the current challenges in meeting workforce needs and developing engineers and planners who have multi-disciplinary backgrounds. The research and education activities will support and enhance the proposed outreach activities, which are aimed toward increasing enrollment, quality and diversity in the transportation program, and attracting and retaining students from diverse backgrounds and with diverse learning styles to science and engineering.