Road-Segment-Based Vehicle Emission Model for Real-Time Traffic Greenhouse Gas Estimation

In this paper, we presented a ROad SEgment-based emission model (ROSE) for transportation Green House Gas (GHG) emissions estimation. The objective of this study is to provide a framework for quickly estimating traffic-related GHG emissions and analyzing its spatiotemporal distribution and variation. The model is carried out a combination of Intelligent Transport System (ITS) technology, Geographic Information System (GIS) technology, and the International Vehicle Emission Model (IVE). In the ROSE model, the ITS¡¯ floating car data (FCD) and loop detector data (LDD) are used as the model input. The IVE model is used for providing microscopic vehicle emission rates; and GIS is not only used as a database exchanger, but also used as a computation and a visualization tool in ROSE model. This paper will discuss two fundamental works conducted in our ROSE model research project: 1) ITS real-time traffic data collection and geographic-related data unification; 2) vehicle driving activity generation & road-segment based CO2 emission computation. To demonstrate the effectiveness of the ROSE model, we applied this model in a case study for estimating the daily CO2 emissions generated from the highway transportation of Beijing, China during the year of 2008. The result shows that the ROSE model can provide micro level highly accurate and real-time GHG emission for the whole urban area such as Beijing city.

• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Li, Qingquan
  • Cui, Xiaohui
  • Tang, Luliang
  • Li, Zhiheng
  • Liu, Cheng
• Conference:
  • Transportation Research Board 90th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2011-1-23 to 2011-1-27
• Date: 2011

Language

• English

Media Info

• Media Type: DVD
• Features: Figures; References;
• Pagination: 16p
• Monograph Title: TRB 90th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

• TRT Terms: Estimating; Exhaust gases; Greenhouse gases; Pollutants; Real time information; Traffic data
• Uncontrolled Terms: Emissions models
• Geographic Terms: Beijing (China)
• Subject Areas: Environment; Highways; Planning and Forecasting; I15: Environment;

Filing Info

• Accession Number: 01337530
• Record Type: Publication
• Report/Paper Numbers: 11-1774
• Files: TRIS, TRB
• Created Date: Apr 21 2011 1:09PM