Extended Field Testing and Enhancement of a Portable Pedestrian and Cyclist Detection System
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2020-03-01
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Edition:Final; September 2017-March 2020
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Abstract:The objective of this project was to enhance the capabilities of the pedestrian tracking system by adding support for detection and tracking of cyclists and vehicles, in addition to generating a set of tools to aid in analysis. Secondary tasks explored methods of enhancing the system capability for added value. The system analyzes the collected video data and automatically identifies and characterizes the number of pedestrians, vehicles, and cyclists and their behavior at midblock and intersection locations (specifically, their crossing locations and frequency). The system is designed to be portable to support data collection in multiple locations. Key conclusions from this study are: 1) A detection and tracking software system capable of creating and logging trajectories for pedestrians, vehicles, and cyclists was implemented and tested. 2) Field testing of detection algorithms yielded accuracy between 90% and 95%, but count accuracy suffered at 53%. 3) A set of powerful analysis tools was developed to allow in-depth analysis of results.
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