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Traffic signals were originally devised to automatically control traffic flows and prevent collisions at road intersections and pedestrian crossings. Since their first implementation, traffic signals have rapidly spread to become the main traffic control device in road networks. However, signalized intersections are still considered hazard locations where traffic collisions frequently occur. According to the National Collision Database (NCDB) provided by Transport Canada, for the period from 1999 to 2014, more than 546,900 traffic collisions occurred at signalized intersections in Canada. These collisions resulted in 2,972 fatalities and 782,102 injured persons. In addition to their safety concerns, signalized intersections constitute one of the main contributors to road network delays due to the recurrent congestion that might be associated with inadequate traffic capacity or poor signal control. Traffic congestion is generally a growing problem that consumes high costs; wastes people’s time; affects the environment, the quality of life, and the economy. Existing advanced traffic management and information systems now provide high-resolution traffic data and are capable to efficiently manage and analyze this data. Moreover, the emerging connected-vehicles technology that uses wireless communication between vehicles, infrastructure, and other road users will generate a considerable amount of real-time data on vehicle positions and trajectories. The main objective of my research is how this data can be used for real-time safety and mobility optimization of traffic signals.