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This conference talk introduces SUAVPy, an open-source SUMO plugin that integrates Unmanned Aerial Vehicle (UAV) sensing capabilities into microscopic traffic simulations using Python. Learn how this innovative tool enables capturing detailed vehicle observations through dynamic deployment of multiple UAVs, which monitor traffic based on their position and field-of-view. The presentation by Charalambos Tsioutis, along with co-authors Christos Makridis and Stelios Timotheou, demonstrates how SUAVPy maintains simulation performance comparable to standard post-processing methods while providing high-resolution aerial observations of vehicular movement. Discover how this plugin addresses the gap in tools for capturing microscopic traffic measurements from UAV-based observations, making it suitable for large-scale traffic monitoring research.
