The COVID-19 outbreak has dramatically changed travel behavior in cities across the world. With changed travel demand, economic activity, and social-distancing/stay-at-home policies, transportation systems have experienced an unprecedented shift in demand and usage. Since the start of the pandemic, the C2SMART research team has been collecting data and investigating the impact of COVID-19 on mobility and sociability, including:

• Passenger travel and freight traffic trends
• Mode shift and usage based on various policies
• Effect of social distancing policies on transit use and emissions
• Sidewalk, crosswalk, and intersection crowd density
• Effect of COVID-19 Policies on Transportation Systems

Leveraging open data from multiple sources, this project features both traditional and innovative techniques，such as data mining and visualization, agent-based traffic simulation model and real-time computer vision technique, to help researchers and transportation authorities understand and observe the impact of the pandemic on transportation.