City-wide control and coordination of traffic flow can improve efficiency, fuel consumption, and safety. We consider the problem of controlling traffic lights under fixed and adaptive routing of vehicles in urban road networks. Multicommodity back-pressure algorithms, originally developed for routing and scheduling in communication networks, are applied to road networks to control traffic lights and adaptively reroute vehicles. The performance of the algorithms is analyzed using a microscopic

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... affic simulator. The results demonstrate that the proposed multi-commodity and adaptive routing algorithms provide significant improvement over a fixed schedule controller and a single-commodity back-pressure controller, in terms of various performance metrics, including queue-length, trips completed, travel times, and fair traffic distribution. PLACE PHOTO HERE Ali A. Zaidi received the M.Sc. degree in Wireless Systems and the PhD degree in Telecommunications from KTH Royal Institute of Technology, Sweden, in 2008 and 2013, respectively. He joined Ericsson Research in 2014, where he is currently working with research and standardization of future radio access technologies. He has co-authored over 30 research articles on various topics related to communication and control in wireless networked systems. His previous positions include being post-doctoral researcher in the