Graduate Thesis Or Dissertation


Evaluation of Dynamic Passive Pedestrian Detection with a Framework for Future Applications 公开 Deposited




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  • Intersections pose unique transportation challenges regarding safety and operational efficiency. When pedestrians currently want to cross at intersection, they need to use a push button to issue a call for service. The call is static and cannot be altered or changed. But by implementing dynamic passive pedestrian detection sensors, intersections could change or cancel a call based on the location of a pedestrian to increase safety or operational efficiency. The objective of this study was to evaluate the detection accuracy of optical and thermal dynamic passive pedestrian detection sensors across varying pedestrian, weather, and lighting conditions to determine possible strategies for future implementation. Sensors were installed at two locations in Washington County, Oregon and 412 pedestrian crossing observations were recorded and transcribed. In general, the results showed that the thermal sensor performed better than the optical sensors. A breakdown of all the error types was presented, and a short discussion on hurdles to implementation follows the results.
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