A fuel-based method for estimating heavy-duty diesel truck emissions is described. In this method, emission factors are normalized to fuel consumption; vehicle activity is measured by the amount of diesel fuel consumed. For the San Francisco Bay Area during summer 1996, on-road heavy-duty diesel trucks were estimated at the upper bound to emit 110 × 103 kg/day of nitrogen oxides (NOx) and 3.7 ×...

T amount of pollution that a vehicle emits and the rate at which it consumes fuel are dependent on many factors. The U.S. Environmental Protection Agency (EPA) has developed a series of computer models that estimate the average emissions for different types of highway vehicles. This fact sheet is one of a series on highway vehicle emission factors. It presents average annual emissions and fuel ...

The U.S Environment Protection Agency (EPA) has released a new generation regulatory mobile emission model, entitled MOVES (Motor Vehicle Emissions Simulator) to replace its current emission models, MOBILE and NONROAD. The transition to MOVES will have important policy implications for regional mobile source emissions, particularly inventories associated with transportation conformity. The meth...

Microscopic emission and fuel consumption models have been widely recognized as an effective method to quantify real traffic emission and energy consumption when they are applied with microscopic traffic simulation models. This paper presents a framework for developing the Microscopic Emission (HC, CO, NOx, and CO2) and Fuel consumption (MEF) models for light-duty vehicles. The variable of comp...

Scientists and policymakers intend worldwide emissions reduction of up to 80 percent of carbon dioxide (CO2) and other greenhouse gases (GHGs) in the next four decades to stabilize atmospheric concentrations (TRB 2011). Henceforth, an immediate response from the transportation sector, one of the largest producers of GHGs (up to 30 percent in the U.S.), is critical for GHGs reduction. Possible l...

Energy management in vehicles is an important issue because it can significantly influence the performances of the vehicles. Improving energy management in vehicles can deliver important benefits such as reducing fuel consumption, decreasing emission, lower running cost, reducing noise pollution, and improving driving performance and ease of use. According to Mainins (Manins, 2000), each year m...

Introduction Conclusions References

Novel technologies such as electric vehicles will have a fundamental impact on the performance of a network and it is important that planners have a tool to accurately assess policies aimed at reducing vehicle fuel consumption and emissions. This work presents a novel framework to estimate city-wide vehicle environmental effects that integrates a dynamic traffic assignment model with a novel ap...