Evaluation of vehicle acceleration models for emission estimation at an intersection Academic Article

abstract

• We evaluate the constant acceleration, linearly decreasing acceleration, and aaSIDRA models in terms of generating second-by-second speed profiles for emission estimations at an intersection. The models are first calibrated using field data from individual vehicle trajectories. With the calibrated models, second-by-second speed and acceleration data are produced, and emissions are estimated using MOVES. Emission estimations based on the calibrated acceleration models are then compared with those based on field trajectory data. The constant acceleration model tends to overestimate emissions; both the linearly decreasing acceleration model and the aaSIDRA model provide accurate emission estimations. 2012 Elsevier Ltd.

authors

• Zhang, Yunlong

published proceedings

• TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT

author list (cited authors)

• Zhang, Y., Lv, J., & Wang, W.

citation count

• 14

complete list of authors

• Zhang, Yunlong||Lv, Jinpeng||Wang, Wei

publication date

• January 2013

publisher

• Elsevier  Publisher

published in

• Transportation Research  Journal

keywords

• Emission Estimation
• Road Intersections
• Vehicle Acceleration Models

Digital Object Identifier (DOI)

• 10.1016/j.trd.2012.09.004

start page

• 46

end page

• 50

volume

• 18

issue

• 1

URL

• http://dx.doi.org/10.1016/j.trd.2012.09.004

user-defined tag

• 13 Climate Action