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Portland State University researchers Liming Wang and Jenny Liu are developing a comprehensive performance measure that enables planners and the public to evaluate the performance of transportation and land use systems over time and across geographic areas.
Transportation engineers have a long history of using performance measures such as the Highway Performance Monitoring...Read more
ORcycle is a new smartphone application (for both Android and iOS) developed by Transportation, Technology, and People (TTP) lab researchers at Portland State University as part of an Oregon Department of Transportation (ODOT) research project. ORcycle collects user, route, infrastructure, crash, and safety data. ORcycle was successfully launched in early November 2014 and presents many improvements over existing or similar apps. Initial data findings and insights will be presented. Lessons learned as well as opportunities and challenges associated with smartphone data collection methods will be discussed. More information about the app can be found here: http://www.pdx.edu/transportation-lab/orcycleRead more
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A System-Wide Adaptive Ramp Metering (SWARM) system is being implemented in the Portland metropolitan area and should be operational on all corridors by April 2006. This study entails a before and after evaluation of the operational benefits of the new SWARM system using the existing data, surveillance and communications infrastructure. In particular, the study will quantify system-wide benefits in terms of savings in delay, emissions and fuel consumption and safety improvements on and off the freeway due to the implementation of the ramp metering system. This will aid in the optimal deployment of current SWARM system and will be transferable to other regions as their systems come on line in the future.
The proliferation of information technology in the transportation field has opened up opportunities for communication and analysis of the performance of transportation facilities. The Highway Capacity Manual relies on rules of thumb and small data samples to generate levels of service to assess performance, but modern detection technology gives us the opportunity to better capture the dynamism of these systems and examine their performance from many perspectives. Travelers, operations staff, and researchers can benefit from measurements that provide information such as travel time, effectiveness of signal coordination, and traffic density. In particular, inductive loop detectors show promise as a tool to collect the data necessary to generate such information. But while their use for this purpose on restricted‐access facilities is well understood, a great many challenges remain in using loop detectors to measure the performance of surface streets.
This thesis proposes 6 methods for estimating arterial travel time. Estimates are compared to simulated data visually, with input/output diagrams; and statistically, with travel times. Methods for estimating travel time are applied to aggregated data and to varying detector densities and evaluated as above. Conclusions are drawn about which method provides the best estimates, what levels of data aggregation can still provide useful information, and what the effects of detector density are on the quality of estimates....Read more