Reinforcement Learning Algorithm for Traffic Signal Control To Reduce GHG Emissions

Persistent traffic congestions which are varying in volume and duration in the cities are not just the source of frustration for drivers, but also one of the biggest sources of greenhouse gas emissions in the world. Those types of congestions cannot be adequately resolved by the traditional traffic signal controllers.
Breeze Labs Inc. in cooperation with Simon Fraser University aims to develop a system that provides optimal traffic signal control based on road user information received from existing CCTV cameras and other traffic sensors on the intersections.