Traffic jams are usually treated as a problem to be measured after they form. Anton Rozhkov and his colleagues are exploring a different approach: giving planners state-of-the-art tools that can anticipate congestion, locate where it is most likely to emerge and translate complex traffic models into plain-language guidance.
