摘要: |
The focus of this project is to quantify "real-world" emissions from hybrid versus non-hybrid vehicles. State-of-the-art micro-simulation models can replicate vehicle activity, fuel economy and emissions. Unfortunately, the factors used by such models are often based on data from laboratory tests conducted under ideal conditions. Transportation planning models are the basis for decision-making related to new infrastructure, congestion mitigation and safety. These models are also used to evaluate the air quality impacts of transportation projects under Federal "Conformity" legislation requirements (CFR, 2006; FHWA, 2006). State-of-the-art micro simulation models, such as TRANSIMS, model second-by-second vehicle activity (speed and acceleration rate), fuel economy, and emissions (LANL, 2005). Unfortunately, the emissions algorithms used by such models are often based on look-up tables of data from laboratory dynamometer tests conducted under ideal conditions (i.e. new vehicles, 70 degrees F) that do not capture actual "real-world", on-road emissions accurately and do not account for real-world factors such as road grade, temperature or other non-ideal factors. Furthermore, due to their recent introduction, the emissions benefits of alternative technologies like hybrid-electric vehicles and alternative fuels (biofuels) are not incorporated due to a lack of emissions and performance data. |