On-Board-Diagnostics (OBD) Data Integration into Traffic Microsimulation for Vehicle-Specific Fuel Use & Emissions Modeling & In-Vehicle App Testing

Washburn, Scott S.; Frey, H. Christopher; Rouphail, Nagui; Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)

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On-Board-Diagnostics (OBD) Data Integration into Traffic Microsimulation for Vehicle-Specific Fuel Use & Emissions Modeling & In-Vehicle App Testing

2017-05-01
By Washburn, Scott S. ; Frey, H. Christopher ; Rouphail, Nagui

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Creators:

Washburn, Scott S. ; Frey, H. Christopher ; Rouphail, Nagui

Washburn, Scott S. ; Frey, H. Christopher ; Rouphail, Nagui Less -
Corporate Creators:

Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)
Corporate Contributors:

North Carolina State University ; University of Florida

North Carolina State University ; University of Florida Less -
Subject/TRT Terms:

[+]

Data And Information Technology Data Collection Energy Energy Consumption Environment Highways Microsimulation Mobile Applications Pollutants Private Passenger Vehicles Traffic Simulation Vehicles And Equipment
Publication/ Report Number:

2013-034
Resource Type:

Tech Report
Geographical Coverage:

United States ; North Carolina ; Florida

United States ; North Carolina ; Florida Less -
Edition:

Final Report
Corporate Publisher:

Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)
Abstract:

The work reported here is for a study that aimed to: (1) evaluate the concordance between internally observable variable (IOV) based and externally observable variable (EOV) based predictors of engine power demand; (2) develop predictive models for vehicle energy use and emissions (EU&E) based on IOVs; (3) evaluate models for vehicle EU&E based on IOVs by comparing to models based on EOVs; and (4) implement the new predictive models for emissions and fuel use based on IOV’s into SwashSim, a traffic microsimulation software program Based on this research, predictive models for vehicle EU&E are evaluated and recommendations are offered regarding choices among these models. The implementation of the IOV-based models into SwashSim demonstrates how this capability can be added to any microscopic traffic simulation tool.
Content Notes:

(Project # 2013-034)
Format:

PDF
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:6949f8e36ba201cbf35c06ab3f10815cf48b5eed0c6c958a1b6e6bc24c78bf51
Download URL:

https://rosap.ntl.bts.gov/view/dot/36694/dot_36694_DS1.pdf
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On-Board-Diagnostics (OBD) Data Integration into Traffic Microsimulation for Vehicle-Specific Fuel Use & Emissions Modeling & In-Vehicle App Testing

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