Dr Sedar Olmez FRGS

Available via institutional email address

Social Digital Twin - Converging Technologies

Fujitsu Research of Europe

2nd Floor (West), The Urban Building, 3-9 Albert Street, Slough, England, SL1 2BE

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

Journal article

Sedar Olmez, Jason Thompson, Ellie Marfleet, Keiran Suchak, Alison Heppenstall, Ed Manley, Annabel Whipp, Rajith Vidanaarachchi
Preprints, 2022

DOI: 10.20944/preprints202204.0300.v1

Website

Cite

APA Click to copy
Olmez, S., Thompson, J., Marfleet, E., Suchak, K., Heppenstall, A., Manley, E., … Vidanaarachchi, R. (2022). An Agent-Based Model of Heterogeneous Driver Behaviour and Its Impact on Electric Energy Consumption in Urban Space. Preprints. https://doi.org/10.20944/preprints202204.0300.v1

Chicago/Turabian Click to copy
Olmez, Sedar, Jason Thompson, Ellie Marfleet, Keiran Suchak, Alison Heppenstall, Ed Manley, Annabel Whipp, and Rajith Vidanaarachchi. “An Agent-Based Model of Heterogeneous Driver Behaviour and Its Impact on Electric Energy Consumption in Urban Space.” Preprints (2022).

MLA Click to copy
Olmez, Sedar, et al. “An Agent-Based Model of Heterogeneous Driver Behaviour and Its Impact on Electric Energy Consumption in Urban Space.” Preprints, 2022, doi:10.20944/preprints202204.0300.v1.

BibTeX Click to copy

@article{sedar2022a,
  title = {An Agent-Based Model of Heterogeneous Driver Behaviour and Its Impact on Electric Energy Consumption in Urban Space},
  year = {2022},
  journal = {Preprints},
  doi = {10.20944/preprints202204.0300.v1},
  author = {Olmez, Sedar and Thompson, Jason and Marfleet, Ellie and Suchak, Keiran and Heppenstall, Alison and Manley, Ed and Whipp, Annabel and Vidanaarachchi, Rajith}
}

Olmez, S.; Thompson, J.; Marfleet, E.; Suchak, K.; Heppenstall, A.; Manley, E.; 
    Whipp, A.; Vidanaarachchi, R. An Agent-Based Model of Heterogeneous Driver 
    Behaviour and Its Impact on Electric Energy Consumption in Urban Space. 
    Preprints 2022, 2022040300 (doi: 10.20944/preprints202204.0300.v1).