Estimating Real-Time Traffic Carbon Dioxide Emissions Based on Intelligent Transportation System Technologies

In this paper, a bottom-up vehicle emission model is proposed to estimate real-time CO2 emissions using intelligent transportation system (ITS) technologies. In the proposed model, traffic data that were collected by ITS are fully utilized to estimate detailed vehicle technology data (e.g., vehicle type) and driving pattern data (e.g., speed, acceleration, and road slope) in the road network. The road network is divided into a set of small road segments to consider the effects of heterogeneous speeds within a road link. A real-world case study in Beijing, China, is carried out to demonstrate the applicability of the proposed model. The spatiotemporal distributions of CO2 emissions in Beijing are analyzed and discussed. The results of the case study indicate that ITS technologies can be a useful tool for real-time estimations of CO2 emissions with a high spatiotemporal resolution.

• Record URL:
  https://doi.org/10.1109/TITS.2012.2219529
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Authors:
  • Chang, X
  • Chen, Bi Yu
  • Li, Qingquan
  • Cui, Xiaohui
  • Tang, Luliang
  • Liu, Cheng
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 469-479
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 14
  • Issue Number: 1
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Carbon dioxide; Global Positioning System; Greenhouse gases; Intelligent transportation systems; Mathematical models; Real time data processing; Traffic data
• Subject Areas: Data and Information Technology; Highways; I15: Environment;

Filing Info

• Accession Number: 01506420
• Record Type: Publication
• Files: TLIB, TRIS
• Created Date: Feb 3 2014 9:20AM