Imagine a traffic signal that can think on its feet.

The signal collects data from roadside cameras and, ultimately, wireless transmitters in connected “talking” cars, which guide it to adjust the duration of red, amber and green lights based on the number of vehicles queuing up.

Intersections are linked across a neighborhood via GPS chips, prioritizing those where lineups are excessive and making signals more responsive to real-time conditions while lowering traffic control costs.

This award-winning technology was developed by University of Toronto engineering graduate Samah El-Tantawy under the supervision of Baher Abdulhai, director of the university’s Toronto Intelligent Transportation Systems Centre and Testbed.
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