Abstract

With different cognitive abilities and driving style preferences, car-following behaviors can vary significantly among human drivers. To facilitate the replications of human driving behaviors on chassis dynamometer using a robot driver, this paper proposes a novel fuzzy logic driver model that attempts to perform humanized driving behaviors in the car-following regimes. An adaptive neuro-fuzzy inference system was developed to tune the fuzzy model using real driving data collected from an instrumented vehicle. Driver’s cognition parameters, such as headway distance, vehicle speed and pedal positions, were modelled as system inputs. Meanwhile, driver’s action parameters, such as pedal movements and gear selection, were selected as system outputs. Three models that possess different driving styles were calibrated using the system. Afterwards, in order to evaluate its performance of emulating human behaviors, the established fuzzy models were examined in a simulation scenario that is anchored to standard WLTC drive cycle tests.

LanguageEnglish
Title of host publicationAdvances in Human Aspects of Transportation - Proceedings of the AHFE 2018 International Conference on Human Factors in Transportation, 2018
PublisherSpringer Verlag
Pages481-490
Number of pages10
ISBN (Print)9783319938844
DOIs
StatusE-pub ahead of print - 28 Jun 2018
EventAHFE International Conference on Human Factors in Transportation, 2018 - Orlando, USA United States
Duration: 21 Jul 201825 Jul 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume786
ISSN (Print)2194-5357

Conference

ConferenceAHFE International Conference on Human Factors in Transportation, 2018
CountryUSA United States
CityOrlando
Period21/07/1825/07/18

Fingerprint

Fuzzy inference
Railroad cars
Dynamometers
Chassis
Fuzzy logic
Gears
Robots

Keywords

  • Car-following model
  • Driving style simulation
  • Fuzzy logic
  • Human factors
  • Real driving data
  • WLTC

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Feng, Y., Pickering, S., Chappell, E., Iravani, P., & Brace, C. (2019). Driving Style Modelling with Adaptive Neuro-Fuzzy Inference System and Real Driving Data. In Advances in Human Aspects of Transportation - Proceedings of the AHFE 2018 International Conference on Human Factors in Transportation, 2018 (pp. 481-490). (Advances in Intelligent Systems and Computing; Vol. 786). Springer Verlag. DOI: 10.1007/978-3-319-93885-1_43

Driving Style Modelling with Adaptive Neuro-Fuzzy Inference System and Real Driving Data. / Feng, Yuxiang; Pickering, Simon; Chappell, Edward; Iravani, Pejman; Brace, Chris.

Advances in Human Aspects of Transportation - Proceedings of the AHFE 2018 International Conference on Human Factors in Transportation, 2018. Springer Verlag, 2019. p. 481-490 (Advances in Intelligent Systems and Computing; Vol. 786).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Feng, Y, Pickering, S, Chappell, E, Iravani, P & Brace, C 2019, Driving Style Modelling with Adaptive Neuro-Fuzzy Inference System and Real Driving Data. in Advances in Human Aspects of Transportation - Proceedings of the AHFE 2018 International Conference on Human Factors in Transportation, 2018. Advances in Intelligent Systems and Computing, vol. 786, Springer Verlag, pp. 481-490, AHFE International Conference on Human Factors in Transportation, 2018, Orlando, USA United States, 21/07/18. DOI: 10.1007/978-3-319-93885-1_43
Feng Y, Pickering S, Chappell E, Iravani P, Brace C. Driving Style Modelling with Adaptive Neuro-Fuzzy Inference System and Real Driving Data. In Advances in Human Aspects of Transportation - Proceedings of the AHFE 2018 International Conference on Human Factors in Transportation, 2018. Springer Verlag. 2019. p. 481-490. (Advances in Intelligent Systems and Computing). Available from, DOI: 10.1007/978-3-319-93885-1_43
Feng, Yuxiang ; Pickering, Simon ; Chappell, Edward ; Iravani, Pejman ; Brace, Chris. / Driving Style Modelling with Adaptive Neuro-Fuzzy Inference System and Real Driving Data. Advances in Human Aspects of Transportation - Proceedings of the AHFE 2018 International Conference on Human Factors in Transportation, 2018. Springer Verlag, 2019. pp. 481-490 (Advances in Intelligent Systems and Computing).
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