{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/41499761218f44b089ffaa9d3eb79b08\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/41499761218f44b089ffaa9d3eb79b08-f9d681f18bcda456.gif","duration":82.996,"title":"Traffic Simulation with SimPy","description":"In this video, I explain how traffic simulation models vehicle movements to analyze congestion and optimize traffic flow. I specifically focus on using SimPy, a Python-based framework, to create a traffic model that records important metrics like wait times and queue lengths. By analyzing these results, we can identify bottlenecks and develop strategies for improving traffic efficiency. I encourage you to explore the app I demonstrate and think about how we can apply these insights to our projects."}