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Research Highlights

Automated Detection, Tracking, and Safety Analysis of Pedestrians and Cyclists Using YOLOv9

Banafsheh Rekabdar
Sirisha Kothuri , Nathan McNeil
This applied research project aims to adapt and further train YOLOv9 to enhance its ability to accurately detect, track, and count cyclists and pedestrians in video data from the Portland Metro Area. The method will also extract surrogate safety metrics, such as Post Encroachment Time, which are crucial for assessing conflicts and designing safer, more efficient transportation facilities. By analyzing these interactions during daylight, the project seeks to deepen our understanding of active ... Read More

Improving Trip Generation Methods for Livable Communities

Kelly Clifton
Nico Larco
This NITC report offers a multimodal framework for transportation impact analysis – a welcome tool for professionals in many cities seeking more detailed data about non-drivers. Headed by Kelly Clifton of Portland State University and Nico Larco of the University of Oregon, this project is the latest effort in an ongoing collaboration to create more open sourced, widely available data about non-motorized road users. Over the last decades, cities have become more invested in fostering the ... Read More