Beijing's first subway line with driverless trains to start this year

An article on Gadgets Now reports on UB research suggesting that data from Twitter and other social media platforms can help improve event planning, route scheduling, crowd regulations and subway operations.

"Social media offers a cost-effective way to obtain real-time data on monitoring subway passenger flow," said the study's corresponding author Qing He from the University of Buffalo.

In addition to Qing, who has appointments in the University's Department of Civil, Structural and Environmental Engineering and the Department of Industrial and Systems Engineering, the study was co-authored by PhD student Jing Gao, an assistant professor in the UB's Department Computer Science and Engineering, and Ming Ni, a PhD fellow from the UB's Department of Industrial and Systems Engineering.

Read the story here.