Abstract:
Developed locally in partnership with Syntell and Bytefuse, Quebit is an adaptive, data-
driven artificial intelligence (AI) traffic management solution. With continuous
fluctuations in traffic patterns, the timing configurations at intersections are often outdated
and asynchronous, leading to reduced traffic flow and increased congestion.
Quebit’s intelligent, self-learning system adapts to changing traffic patterns in real time.
It’s packaged into a module, a plug & play device that can be easily installed in any
controller that supports the UTMC protocol. Quebit promptly handles acute fluctuations in
traffic patterns, such as those observed during load shedding, accidents and events.
Within corridors, Quebit synchronises the timings between the intersections with the goal
of continuously optimising traffic flow through a
city-wide grid of intersections.
In this talk we’ll demonstrate how Quebit performs in real-world conditions compared to
other adaptive control solutions.
