Exploring Microsimulation Process for Energy Impact Evaluation of Connected and Automated Vehicles

In this paper, the authors present a microsimulation-based methodological approach for evaluating the energy impact of connected and automated vehicles (CAVs). They use an open-source micro-simulator, SUMO, and provide a way to set up a simulation environment that emulates real-world traffic dynamics. They also employ the Intelligent Driver Model to represent human drivers and calibrate its driving behavior using real-world traffic data and driving statistics. The authors conduct extensive simulation studies considering different penetration rates of CAVs, different car-following models, and varying car-following model parameters. Using the state-of-the-art Future Automotive System Technology Simulator (FASTSim), they estimate the fuel economy of each vehicle and analyze the energy impact of the given CAV implementation. Finally, the authors analyze the possible factors affecting the simulation results, and also discuss limitations and future work.

• Record URL:
  • https://annualmeeting.mytrb.org/OnlineProgram/Details/19415
• Supplemental Notes:
  • This paper was sponsored by TRB committee ACP80 Standing Committee on Traffic Simulation.
• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Bang, Heeseung
  • Holden, Jacob
  • Mahbub, A M Ishtiaque
  • Gonder, Jeffrey
  • Malikopoulos, Andreas A
• Conference:
  • Transportation Research Board 102nd Annual Meeting
  • Location: Washington DC, United States
  • Date: 2023-1-8 to 2023-1-12
• Date: 2023

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References; Tables;
• Pagination: 13p

Subject/Index Terms

• TRT Terms: Car following; Connected vehicles; Fuel consumption; Intelligent vehicles; Microsimulation; Vehicle mix
• Identifier Terms: FASTSIM; Intelligent Driver Model (IDM); SUMO (Traffic simulation model)
• Subject Areas: Data and Information Technology; Energy; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01875178
• Record Type: Publication
• Report/Paper Numbers: TRBAM-23-00998
• Files: TRIS, TRB, ATRI
• Created Date: Mar 1 2023 10:09AM