Massive amounts of data points are generated by transportation infrastructure, traffic, travel demand, autonomous and connected vehicles (CAVs), and intelligent transportation systems (ITS). This data must be processed and analyzed. The question is, how can all this data be captured… Read More
Tag: Artificial Intelligence
STRIDE Researcher Spotlight: Dr. Xiang ‘Jacob’ Yan (UF)
In China, the use of public transportation to facilitate a variety of activities related to daily life is the norm. With a wide-range of alternatives such as light rail, underground metro systems, high-speed rail, bus rapid transit, bike-sharing programs, and… Read More