A Statistical Model of Vehicle Emissions and Fuel Consumption
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Author(s)
Cappiello, Alessandra
Chabini, Ismail
Lue, Alessandro
Zeid, Maya Abou
Nam, Edward K.
Date Issued
September 17, 2002
Abstract
Many vehicle emission models are overly simple, such
as the speed dependent models used widely, and other models are
sufficiently complicated as to require excessive inputs and
calculations, which can slow down computational time. We
develop and implement an instantaneous statistical model of
emissions (CO2, CO, HC, and NOx) and fuel consumption for
light-duty vehicles, which is simplified from the physical loadbased
approaches that are gaining in popularity. The model is
calibrated for a set of vehicles driven on standard as well as
aggressive driving cycles. The model is validated on another
driving cycle in order to test its estimation capabilities. The
preliminary results indicate that the model gives reasonable
results compared to actual measurements as well as to results
obtained with CMEM, a well-known load-based emission model.
Furthermore, the results indicate that the model runs fast and is
relatively simple to calibrate. The model presented can be
integrated with a variety of traffic models to predict the spatial
and temporal distribution of traffic emissions and assess the
impact of ITS traffic management strategies on travel times,
emissions, and fuel consumption.
Subjects
instantaneous emissions modeling
dynamic traffic
vehicle emissions
fuel consumption
emission models
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