Estimating Energy Efficiency of Connected and Autonomous Vehicles in a Mixed Fleet

Details

• Creators:
  Dong, Jing ; Lu, Chaoru ; Hu, Liang
• Corporate Creators:
  Iowa State University. Center for Transportation Research and Education
• Corporate Contributors:
  Midwest Transportation Center ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; Iowa. Highway Research Board
• Subject/TRT Terms:
  Advanced Vehicle Control Systems Autonomous Intelligent Cruise Control Connected And Autonomous Vehicles Ecological Adaptive Cruise Control Economic Efficiency Electric Vehicles Energy Consumption Energy Consumption Models Energy Efficiency Fuel Cell Vehicles Battery Electric Vehicles Hybrid Vehicles Intelligent Vehicles Plug-in Hybrid Vehicles

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• Publication/ Report Number:
  IHRB Project TR-708D
• Resource Type:
  Tech Report
• Geographical Coverage:
  Iowa
• Corporate Publisher:
  University of Iowa. Center for Transportation Research and Education
• Abstract:
  Jing Dong (orcid.org/0000-0002-7304-8430); Liang Hu (orcid.org/0000-0001-6351-8542);
  
  Chaoru Lu (orcid.org/0000-0001-8418-7658);
  
  Connected and autonomous vehicle (CAV) technologies are likely to be gradually implemented over time and in a traffic environment consisting of a significant share of alternative fuel vehicles, such as flexible-fuel, plug-in electric, and fuel cell vehicles. This work proposes the use of rule-based ecological adaptive cruise control strategies—the ecological smart driver model (Eco-SDM) for gasoline CAVs and the energy-efficient electric driving model (E3DM) for electric CAVs (e-CAVs)—to improve the energy efficiency of individual vehicles and traffic flow.
  
  By adjusting the spacing between the leading and the following vehicles, the Eco-SDM provides smoother deceleration and acceleration than the adaptive cruise control strategies based on intelligent driver model-adaptive cruise control (IDM-ACC) and the Nissan model (Nissan-ACC). The E3DM is able to maintain high energy efficiency of regenerative braking by adjusting the spacing between the leading and the following vehicles.
  
  
• Format:
  PDF
• Funding:
  DTRT13-G-UTC37
• Collection(s):
  US Transportation Collection Autonomous Vehicles
• Main Document Checksum:
  urn:sha-512:868170720d79cb08951d15acc7fe6e2651021f74ee508142f3c6483d5464ce1646367c20db5186d6a2b7334eb851010a4a9583ab88dee142d0f9cd1a665e1e6b
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/36110/dot_36110_DS1.pdf
• File Type:
  [PDF - 1.19 MB ]