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Title	Leveraging Video Data To Better Understand Driver-Pedestrian Interactions In A Smart City Environment
ID_Doc	35150
Authors	Li T.; Cullom J.; Stern R.
Year	2021
Published	DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021
DOI	http://dx.doi.org/10.1145/3459609.3460524
Abstract	New data sources such as video promise to provide insights into how humans navigate urban infrastructure and enable analysis of human-in-the-loop interactions. This work considers the deployment of portable video data collection units to understand human-driver interactions at unsignalized intersections. Specifically, we present preliminary data collection and results that highlight the value of video data in capturing the nuanced interactions of pedestrians with vehicles when navigating urban streets. © 2021 ACM.
Author Keywords	transportation data analysis; Urban sensing; video as a sensor

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