Modeling vehicle fuel consumption and emissions at signalized intersection approaches : integrating field-collected data into microscopic simulation.

Details

• Creators:
  Den Braven, Karen R. ; Abdel-Rahim, Ahmed ; Henrickson, Kristian ; Battles, Amanda
• Corporate Creators:
  National Institute for Advanced Transportation Technology (NIATT) (U.S.)
• Corporate Contributors:
  United States. Department of Transportation. Research and Innovative Technology Administration ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  • Pollutants
  • Fuel conservation
  • Fuel consumption
  • Vehicle operations
  • Real time data processing
  • Simulation
  • Signalized intersections Automobiles--Motors--Exhaust gas
  • Automobiles--Fuel consumption
  • Computer simulation
  • Real-time data processing
  More +
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final report.
• Corporate Publisher:
  National Institute for Advanced Transportation Technology (NIATT) (U.S.)
• Abstract:
  Microscopic models produce emissions and fuel consumption estimates with higher temporal resolution than other scales of ; models. Most emissions and fuel consumption models were developed with data from dynamometer testing which are ; sufficiently accurate for macroscopic level emissions inventories. The primary goal of this project is to improve the ; microscopic modeling of emission and fuel consumption by integrating detailed vehicle data into the simulation. The ; proposed approach combines a microscopic traffic simulation model (VISSIM) with detailed emissions and fuel ; consumption data that is either collected in the field or obtained from an existing emission inventory dataset. The project ; also examines the possibility of using the vehicle’s on-board diagnostic board (OBD) to record real-time engine and ; emissions data at a high temporal resolution. The outcome of this project provides transportation operators with a model that ; is capable of reliably estimating the environmental impact of various traffic management policies at the microscopic ; modeling and would fill a gap that currently exists in traffic modeling capabilities.
• Format:
  PDF
• Funding:
  DTRT07-G-0056
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/25382/dot_25382_DS1.pdf
• File Type:
  [PDF - 694.41 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:ae12c426083e86ab374a4beadc9ff8759982de7940c63887911cc4842b0277ff2e007f1e305fc158dcae642136a713970a0f5fccb07906de7351a6d197127357