Experience Implementing a User Service for Archived Intelligent Transportation Systems Data

Document Type

Journal Article

Publication Date


Subject Area

operations - traffic, infrastructure - vehicle, planning - signage/information, ridership - forecasting, ridership - forecasting, ridership - demand, organisation - management, technology - intelligent transport systems


User interfaces (Computer science), Travel models (Travel demand), Travel demand, System architecture, Scenarios, RTI, Road transport informatics, Projections, Portland (Oregon), Man computer interfaces, Loop detectors, IVHS, ITS (Intelligent transportation systems), Intelligent vehicle highway systems, Intelligent transportation systems, Information processing, Inductive loops, Induction loops, Induction loop detectors, Implementation, Human computer interfaces, Forecasting, Data storage, Data processing, Data archiving, Computer interfaces, ATT, ATMS, Archived data, Advanced transport telematics, Advanced traffic management systems


In cooperation with the Oregon Department of Transportation (ODOT) and other regional partners, the Portland regional intelligent transportation systems (ITSs) data archive was recently inaugurated via a direct fiber-optic connection between ODOT and Portland State University (PSU). In July 2004, the Portland Regional Transportation Archive Listing was activated; it received 20-s data from the 436 inductive loop detectors composing the Portland area’s advanced traffic management system. PSU is designated as the region’s official data archiving entity, consistent with the ITS architecture being developed. This paper discusses the steps taken for successful implementation of the Portland region’s functional ITS data archive and plans for development and expansion. Included is a discussion of the archive structure, data storage, data processing, and user interface. An experiment involving Metro, the Portland region’s metropolitan planning organization, demonstrates that archived loop detector data can be used to improve travel demand forecasts for the Portland region. The data archive will expand to include transit data, freeway incident data, city traffic signal data, and truck weigh-in-motion data.