University of Toronto Engineering graduate Samah El-Tantawy is creating better, smarter traffic lights using game theory and artificial intelligence to teach lights how to adjust to traffic patterns in real time.
Tests of El-Tantawy's system on 60 downtown Toronto intersections at rush hour showed a reduction in delays of up to 40 per cent. The test also showed it cut travel times by as much as 26 per cent.
Existing traffic light systems use sensors embedded in the pavement leading up to the intersection to send data to and from a central management centre. The centre then sends signals back to adjust the lights' timing.
However, El-Tantawy's system processes data on site and in real time, avoiding data transmission delays. It also avoids the system-wide chaos that would result if the central management centre broke down.
This creates more responsive timing for grid-like transportation networks. Restore content access Restore content access for purchases made as guest. Article Purchase - Online Checkout.
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Dr. Samah El-Tantawy is currently an Assistant Professor at Engineering Mathematics During her PhD research, Samah developed a coordinated traffic signal. Samah Mohamed El-Shafie Mohamed El-Tantawy. A thesis . The thesis shows how mathematical modelling of the traffic control problem as a stochastic.
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