Portland Oregon Regional Transportation Archive Listing Intelligent Transportation Systems Lab Department of Civil and Environmental Engineering Maseeh College of Engineering and Computer Science  Vehicle Miles Traveled  Vehicle Hours Traveled  Travel Time and Reliability  Google Traffic  Truck Data  WIM Data  WSDOT Data Archiving ITS Data Data archiving for ITS refers to the systematic retention and re-use of operational ITS data. Though the original and primary purpose of generating these data is often for real-time management of transportation systems, archiving these otherwise-discarded data offers a rich source of information to various entities and agencies with a heightening need to evaluate system performance and characteristics on a continuing basis. Once retained, the vast amount of ITS-generated data can be used in transportation planning, administration and research by key stakeholders including metropolitan planning organizations (MPOs), state transportation planners, traffic management operators, transit operators and transportation researchers. PORTAL User Interface. Time Series Speed Plot: I-5 North. Time Series Volume Plot. Time Series Travel Time Variance Plot. Monthly Congestion Report. Overview Welcome to PORTAL — the Portland Oregon Regional Transportation Archive Listing ( ). This system is being developed at Portland State University by students and faculty in the Intelligent Transportation Systems (ITS) Lab under the direction of Dr. Robert L. Bertini. Sponsored by the National Science Foundation, we are working in close cooperation with the Oregon Department of Transportation (ODOT), Metro, the City of Portland, TriMet and other regional partners. The purpose of this project is to implement the archived data user service (ADUS) under the guidance of the National ITS Architecture for the Portland metropolitan region. Since July 2004, PORTAL has been archiving 20- second data from the 485 inductive detectors comprising the Portland region’s Advanced Traffic Management System (ATMS). We also archive area weather data and plan to expand the capabilities of our system and to include multimodal data sources from both Oregon and Washington. We welcome your participation in our project. Data We Collect (Since July 2004)  Freeways (20-second intervals)  Count (mainline and on-ramps)  Occupancy  Time mean speed.   Temperature and precipitation (hourly)  Descriptor (clear, mist, rain, fog, snow)  Data Quality Performance Measures We Compute  Volume  Speed  Occupancy  Delay Current/Future Extensions  min archive  Incidents  Arterials  TriMet Buses  Mapping

Querying the Archive The simple web allows users to perform the queries on the 5 minute aggregated data to extract volume, speed, occupancy, vehicle miles traveled, vehicle hours traveled, travel time, and delay. The user can specify a point on the freeway as well as a full highway segment, the time period and specific travel lanes. Users can display summaries of data from multiple days. The data can be grouped by hour of day, day of week, or week of year. The user can also determine the statistics they wish to see, including, mean, minimum value, maximum value, and standard deviation. The user can also generate congestion-related performance measures for the entire region. Future Work The Intelligent Transportation Systems Lab ( ) has been designated as the regional archiving site for ITS data from Portland and adjacent areas of southwestern Washington. The design and implementation of this archive are being carried out in accordance with the functional requirements for ADUS set forth in the National ITS Architecture. By openly sharing algorithms and experiences, all regions can benefit from past experiences. In Portland, we are emphasizing the development of a multimodal resource that is benefiting all transportation agencies via a unique collaborative environment established by the TransPort committee. Contacts INTELLIGENT TRANSPORTATION SYSTEMS LAB Portland State University Robert L. Bertini, Ph.D., P.E., Director STREET ADDRESS NW Center for Engineering, Science and Technology 1930 SW Fourth Avenue, Suite 315 Portland, Oregon MAILING ADDRESS Post Office Box 751 Portland, Oregon Portland State University is an affirmative action/equal opportunity institution. Printed on recycled paper 2/06. Abstract CAREER: Mining Archived Intelligent Transportation Systems Data: A Validation Framework For Improved Performance Assessment And Modeling $400,000 The 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. This material is based upon work supported by the National Science Foundation under Grant No Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation Flow Vs. Occupancy Plot Travel Time Reliability Plot: I-5 North.