2020/09/23 by Ding Wang, Wang, Ding, Fan Zuo +25
Computer Science · Engineering · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #Multiagent Systems (cs.MA) #Physics and Society (physics.soc-ph) #cs.CV #cs.MA #eess.IV #electronic engineering #information engineering #physics.soc-ph
paper · pdf · doi:10.48550/arxiv.2010.09648
arxiv created 2020/09/23 · arxiv updated 2020/10/20
The COVID-19 pandemic has affected travel behaviors and transportation system operations, and cities are grappling with what policies can be effective for a phased reopening shaped by social distancing. This edition of the white paper updates travel trends and highlights an agent-based simulation model's results to predict the impact of proposed phased reopening strategies. It also introduces a real-time video processing method to measure social distancing through cameras on city streets.