Physics-augmented models to simulate commercial adaptive cruise control (ACC) systems
نویسندگان
چکیده
This paper investigates the accuracy and robustness of car-following (CF) adaptive cruise control (ACC) models in reproducing measured trajectories commercial ACCs. To this aim, a general modelling framework is proposed, which ACC CF have been incrementally augmented with physics-based extensions: namely, perception delay, linear or nonlinear vehicle dynamics, acceleration constraints. has applied to Intelligent Driver Model (IDM), Gipps’ model, three basic algorithms. These are controllers coupled constant time-headway spacing policy, two other policies derived from traffic flow theory: IDM desired distance function, equilibrium distance-speed function. The ninety resulting combination five base aforementioned extensions, assessed compared through vast calibration validation experiment against trajectory data vehicles driven by systems. Overall, study shown that extensions provide limited improvements existing models. In addition, if an investigation not carried out, it possible argue extension most suited for specific model. controller policy resulted accurate while robust different input trajectories. Eventually, all failed capture behaviour some car brands – just as fail human drivers. Therefore, choice “best” model independent brand simulate.
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ژورنال
عنوان ژورنال: Transportation Research Part C-emerging Technologies
سال: 2022
ISSN: ['1879-2359', '0968-090X']
DOI: https://doi.org/10.1016/j.trc.2022.103692