Learning from big and small data for transportation planning and resilience analysis
C2SMART Center Viz Lab 6 Metrotech Center, Room 460, Brooklyn
Hybrid Event
COVID has exacerbated two emerging trends in transportation analysis: (1) the rise of passively-generated big data; and (2) the increasing need to deal with the “unexpected” disruptions. This talk emphasizes the need for learning big and small data for transportation planning and resilience analysis. Different ways of learning are described, with applications ranging from long-term planning analysis to rapid responses under disruptions.