In their study, PhD candidate Pinchao Zhang  and assist. prof. Sean Qian show that the pattern of when electricity is used in households during the night can predict the start of morning traffic congestion better than real-time monitoring of transit. The study is based on 79 days’ worth of time-of-day electricity data from 322 anonymous