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- W51936828 abstract "Intelligent transportation systems (ITS) provide the surveillance infrastructure for both advanced transportation management and advanced traveler information. Having shifted toward a much more intensified data rich environment, it is now possible to consider automatically generating mobility measures as part of an overall traffic management and information system. Many regions use inductive loop detector technology for measuring key traffic parameters such as flow, occupancy and average speed. Mobility-related measures can be produced from these data, including vehicle miles traveled, vehicle hours traveled, average speed, travel time, delay and other nationally accepted parameters that measure transportation system performance. The Portland, Oregon metropolitan region is developing a system to automate the generation of mobility measures using inductive loop detector data. In this paper, we describe a rigorous, microscopic validation process that has been developed to validate the inductive loop detector data using ground truth video. In addition, we present several methods for converting the validated data to useful visualizations which are helpful for transportation management and operations." @default.
- W51936828 created "2016-06-24" @default.
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- W51936828 date "2004-01-01" @default.
- W51936828 modified "2023-09-27" @default.
- W51936828 title "TOWARD AUTOMATION OF MOBILITY MEASURES IN PORTLAND, OREGON: MICROSCOPIC VALIDATION OF ARCHIVED FREEWAY SENSOR DATA" @default.
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