An Accuracy Enhanced Operating-Mode-Based Intersection Emission Estimation Model Based on High-Resolution Radar-Based Vehicle Detection Data

Transportation related emissions is a major contributing factor to air pollution. Among all transportation facilities, urban intersections have been identified as a major source for vehicle emissions. Therefore, emission modeling and estimation at intersection level is highly needed and desired. In this research, an operating mode based macroscopic emission model is developed by using both empirical data from radar based vehicle detection system and MOVES output as well as incorporating existing traffic flow dynamics model. This emission model is able to directly compute emissions based on traffic volume and traffic signal variables. This predictive model is based on estimating total time spent in each operating mode directly from traffic variables and signal variables. Total time idling is modeled using kinematic wave theory and queuing theory, while others are modeled using empirical data. The validation results showed that the model is able to achieve a high degree of accuracy, within approximately 10 percent of emission results computed using the radar data. In conclusion, the emission model developed showed to yield highly accurate results, and are applicable for estimating emissions at signalized intersections.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ADC20 Standing Committee on Transportation and Air Quality. Alternate title: An Accuracy-Enhanced, Operating Mode–Based Intersection Emission Estimation Model Based on High-Resolution, Radar-Based Vehicle Detection Data
• Authors:
  • Yu, Lang
  • Li, Zhixia
  • Noyce, David A
• Conference:
  • Transportation Research Board 97th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2018-1-7 to 2018-1-11
• Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: References;
• Pagination: 5p

Subject/Index Terms

• TRT Terms: Accuracy; Engine idling; Estimating; Exhaust gases; Macroscopic traffic flow; Mathematical models; Radar vehicle detectors; Signalized intersections; Traffic data; Traffic signals; Traffic speed; Traffic volume; Urban areas
• Identifier Terms: Motor Vehicle Emission Simulator (MOVES)
• Subject Areas: Energy; Environment; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01664002
• Record Type: Publication
• Report/Paper Numbers: 18-06767
• Files: TRIS, TRB, ATRI
• Created Date: Mar 22 2018 12:04PM