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

摘要职业生涯：挖掘存档的智能交通系统数据：改进性能评估和建模的验证框架。波特兰州立大学的贝尔蒂尼我们的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。这个职业计划的使命是开发和评估方法，以存档，挖掘和分析实时ITS数据，使用基于基础设施的传感器，视频和动态浮动探头。利用这些资源，我们将与当地交通机构建立合作伙伴关系，开发数据档案;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基础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，我们将通过更好地理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本科交通课程，纳入信息技术和项目使用真实的交通数据。此外，我们将开发新的研究生课程，重点是使用真实的交通数据，让本科生参与多学科研究团队，并扩大我们的本科生土木工程专业研讨会和校园范围的研讨会系列。这些活动将支持拟议的外展计划，其中包括为代表性不足的高中生开设暑期交通学院，与俄勒冈州科学与工业博物馆建立伙伴关系，包括在新技术大厅建造双语交通数据展览，以及吸引更多波特兰/俄勒冈州高中生学习科学和工程的外展活动。这些综合活动的结果将在提高我们监测、建模和评估交通系统的能力方面发挥关键作用。 这一点很重要，因为在过去的十年中，我们部署了交通监控和管理系统，但没有包括对不断流入交通管理中心的遥感数据进行系统存档或挖掘。事实上，一些机构放弃了这些丰富的资源。该项目旨在通过开发和测试性能措施，利用尚未开发的数据准确评估系统运行情况。希望这将导致更好地了解基本的交通流现象，从而改善交通流建模。这对于预测未来的系统状态是必要的，因此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，开发新的课程和课程模块，以支持新的和现有的运输劳动力，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，这一点非常重要。研究和教育活动将支持和加强拟议的外联活动，旨在提高交通计划的入学率，质量和多样性，吸引和留住来自不同背景和不同学习风格的学生。

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.