Ramp Metering for Minimization of Traffic Emissions

-Green Champion Prize Winner-

If you have ever driven in California, then you most likely have experienced stop-and-go traffic. This frequently experienced phenomenon is characterized by traffic patterns that abruptly change from free-flow to nearly stopped vehicles. Prolonged commute can result in increased emissions from traveling vehicles. Our research focuses on incorporating a microscopic emissions model with a macroscopic traffic model to examine the impact of emissions and fuel consumption through various traffic patterns. Secondly, come up with a ramp metering algorithm with the goal of minimizing traffic emissions.