An Agent-Based Model of Heterogeneous Driver Behaviour and Its Impact on Energy Consumption and Costs in Urban Space

This paper proposes an agent-based model of vehicle activity to quantify energy consumption by simulating a fleet of EV/PHEVs within an urban street network. We find that energy consumption is lowest when speed limit adherence increases (low variance in behaviour) and is highest when acceleration/deceleration patterns vary (high variance in behaviour). Driver behaviour plays a significant role in energy consumption in urban environments.

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Recommended citation:

S. Olmez, J. Thompson, E. Marfleet, K. Suchak, A. Heppenstall, E. Manley, A. Whipp and R. Vidanaarachchi, “An Agent-Based Model of Heterogeneous Driver Behaviour and Its Impact on Energy Consumption and Costs in Urban Space,” Energies, vol. 15, no. 11, pp. 4031, 2022, doi: 10.3390/en15114031.

BibTeX

@article{olmez2022agent,
  title={An agent-based model of heterogeneous driver behaviour and its impact on energy consumption and costs in urban space},
  author={Olmez, Sedar and Thompson, Jason and Marfleet, Ellie and Suchak, Keiran and Heppenstall, Alison and Manley, Ed and Whipp, Annabel and Vidanaarachchi, Rajith},
  journal={Energies},
  volume={15},
  number={11},
  pages={4031},
  year={2022},
  publisher={MDPI}
}