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

Conference ·
OSTI ID:2007858
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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.
Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office
DOE Contract Number:
AC36-08GO28308
OSTI ID:
2007858
Report Number(s):
NREL/CP-5400-84845; MainId:85618; UUID:45ab377e-9b86-4aa4-8821-6c980491f1af; MainAdminID:70780
Country of Publication:
United States
Language:
English

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Related Subjects

ADVANCED PROPULSION SYSTEMS
FAST-Sim
SUMO
connected and automated vehicles
energy impact
microsimulation