A novel vehicle dynamics and human behavior car-following model: Model development and preliminary testing

Fadhloun, Karim; Rakha, Hesham

doi:10.1016/j.ijtst.2019.05.004

Title: A novel vehicle dynamics and human behavior car-following model: Model development and preliminary testing

Abstract

The work introduced in this paper proposes and develops a new car-following model, which we term the Fadhloun-Rakha (FR) model. The FR model incorporates the key components of the Rakha-Pasumarthy-Adjerid (RPA) model in that it uses the same steady state formulation, respects vehicle dynamics, and uses very similar collision-avoidance strategies to ensure safe following distances between vehicles. The main contributions of the FR model over the RPA model are the following: (1) it models the driver throttle and brake pedal input; (2) it captures driver variability; (3) it allows for shorter than steady-state following distances when following faster leading vehicles; (4) it offers a much smoother acceleration profile while converging to steady states; and (5) it explicitly captures driver perception and control inaccuracies and errors. Besides describing the methodology and the role of each of the model parameters, this study evaluates the performance of the new model using a naturalistic driving dataset. A brief comparative analysis was performed to validate the model with regard to replicating empirical driver and vehicle behavior. Through a quantitative and qualitative evaluation, the proposed FR model reflects a significant decrease in the modeling error when compared to the original RPA model and generates trajectories thatmore »« less

Authors:: Fadhloun, Karim; Rakha, Hesham

Publication Date:: 2020-03-01

Research Org.:: Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)

OSTI Identifier:: 1513317

Alternate Identifier(s):: OSTI ID: 1513829

Report Number(s):: DOE-VT-0008209-J03
Journal ID: ISSN 2046-0430; S2046043018301631; PII: S2046043018301631

Grant/Contract Number:: EE0008209

Resource Type:: Published Article

Journal Name:: International Journal of Transportation Science and Technology

Additional Journal Information:: Journal Name: International Journal of Transportation Science and Technology Journal Volume: 9 Journal Issue: 1; Journal ID: ISSN 2046-0430

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

Subject:: 54 ENVIRONMENTAL SCIENCES; 42 ENGINEERING; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 97 MATHEMATICS AND COMPUTING

Citation Formats


                    Fadhloun, Karim, and Rakha, Hesham. A novel vehicle dynamics and human behavior car-following model: Model development and preliminary testing.  United Kingdom: N. p., 2020. 
Web.  doi:10.1016/j.ijtst.2019.05.004.

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                    Fadhloun, Karim, & Rakha, Hesham. A novel vehicle dynamics and human behavior car-following model: Model development and preliminary testing.  United Kingdom.  https://doi.org/10.1016/j.ijtst.2019.05.004

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                    Fadhloun, Karim, and Rakha, Hesham. Sun .  
"A novel vehicle dynamics and human behavior car-following model: Model development and preliminary testing".  United Kingdom.  https://doi.org/10.1016/j.ijtst.2019.05.004.

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@article{osti_1513317,

  title        = {A novel vehicle dynamics and human behavior car-following model: Model development and preliminary testing},

  author       = {Fadhloun, Karim and Rakha, Hesham},

  abstractNote = {The work introduced in this paper proposes and develops a new car-following model, which we term the Fadhloun-Rakha (FR) model. The FR model incorporates the key components of the Rakha-Pasumarthy-Adjerid (RPA) model in that it uses the same steady state formulation, respects vehicle dynamics, and uses very similar collision-avoidance strategies to ensure safe following distances between vehicles. The main contributions of the FR model over the RPA model are the following: (1) it models the driver throttle and brake pedal input; (2) it captures driver variability; (3) it allows for shorter than steady-state following distances when following faster leading vehicles; (4) it offers a much smoother acceleration profile while converging to steady states; and (5) it explicitly captures driver perception and control inaccuracies and errors. Besides describing the methodology and the role of each of the model parameters, this study evaluates the performance of the new model using a naturalistic driving dataset. A brief comparative analysis was performed to validate the model with regard to replicating empirical driver and vehicle behavior. Through a quantitative and qualitative evaluation, the proposed FR model reflects a significant decrease in the modeling error when compared to the original RPA model and generates trajectories that are highly consistent with empirically observed car-following behavior.},

  doi          = {10.1016/j.ijtst.2019.05.004},

  journal      = {International Journal of Transportation Science and Technology},

  number       = 1,

  volume       = 9,

  place        = {United Kingdom},

  year         = {2020},

  month        = {3}

}

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Figures / Tables:

Table 1: Parameters of the RPA model and the FR model

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