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

Heeseung Bang, Jacob Holden, A. M. Mahbub, Jeffrey Gonder, Andreas Malikopoulos

Research output: Contribution to conferencePaper


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.
Original languageAmerican English
Number of pages13
StatePublished - 2023
EventTransportation Research Board 102nd Annual Meeting - Washington, D.C.
Duration: 8 Jan 202312 Jan 2023


ConferenceTransportation Research Board 102nd Annual Meeting
CityWashington, D.C.

NREL Publication Number

  • NREL/CP-5400-84845


  • connected and automated vehicles
  • energy impact
  • FAST-Sim
  • microsimulation
  • SUMO


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