Advancing eco-driving strategies for drivers and automated vehicles traveling within intersection vicinities : final report.

Details

• Creators:
  Tang, Peijia ; Azimi, Mehdi ; Qiao, Fengxiang ; Yu, Lei
• Corporate Creators:
  Texas Southern University. Dept. of Transportation Studies
• Corporate Contributors:
  TranLIVE. University of Idaho ; Texas Southern University ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  Automated Vehicles Driving Simulators Eco-driving Intelligent Vehicles MOVES Traffic Simulation Vehicle Emissions VISSIM
• Publication/ Report Number:
  TranLIVE/TSU/16/02
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Research Report, 01/01/12 - 01/31/16
• Corporate Publisher:
  TranLIVE. University of Idaho
• Abstract:
  Vehicle emissions occupy a considerable share of emission inventories in the United States. One of the approaches
  
  taken to minimize vehicle emissions is eco-driving. Supported by advanced ITS technologies, it is available to provide
  
  the real-time eco-driving advice/suggestions to drivers and to automated vehicles. In order to examine the most
  
  effective eco-driving advising strategies for drivers, and evaluate potential emission mitigations of eco-driving for
  
  automated vehicles. Real-time eco-driving models for drivers and for automated vehicles were developed
  
  respectively. The eco-driving model for drivers was programmed in a high-fidelity driving simulator. Different ecodriving
  
  advising strategies with regard to the types (audio vs. visual) and the frequencies of the suggestions were
  
  designed and tested by thirty-one driver participants. On the other hand, the eco-driving model for automated vehicles
  
  was applied in a VISSIM simulation platform under different traffic conditions. The automated vehicles in the
  
  simulation environment could adjust their driving behaviors second-by-second according to the eco-driving model.
  
  Finally, the MOVES’ method was used to estimate vehicle emissions for both driving simulator tests and VISSIM
  
  simulations. It is found that all of the eco-driving scenarios for drivers are effective in emission reducing. The audio
  
  eco-driving strategy with a 10-second interval is the most effective strategy to reduce emissions. However, eco-driving
  
  scenario spent more travel time. Meanwhile, real-time eco-driving suggestions for automated vehicles saved 20%
  
  CO2. However, vehicle emissions are dependent on traffic condition.
  
  
• Format:
  PDF
• Funding:
  DTRT12GUTC17/KLK900-SB-002
• Collection(s):
  University Transportation Centers US Transportation Collection
• Main Document Checksum:
  urn:sha-512:a562f85b7a412316ac6c3fd193c017baa5d489765ec2a38ea56bea4811ccf830970f5cfe5460aba9da5a700213ba2945c883730f646fb75bbdf7a3932106cb11
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/32553/dot_32553_DS1.pdf
• File Type:
  [PDF - 3.41 MB ]