Deep Reinforcement Learning-Based Intelligent Traffic Signal Controls with Optimized CO2 Emissions
Pedram Agand,Alexey Iskrov,Mo Chen,Pedram Agand,Alexey Iskrov,Mo Chen
Nowadays, transportation networks face the challenge of sub-optimal control policies that can have adverse effects on human health, the environment, and contribute to traffic congestion. Increased levels of air pollution and extended commute times caused by traffic bottlenecks make intersection traffic signal controllers a crucial component of modern transportation infrastructure. Despite several ...
