What question did this study set out to answer?

To develop and evaluate a likelihood-free stochastic calibration method using Approximate Bayesian Computation for linear and model predictive car-following control models.

January 16, 2025IEEE Transactions on Intelligent Transportation Systems

Stochastic Calibration of Automated Vehicle Car-Following Control: An Approximate Bayesian Computation Approach

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Authors

JJJiwan JiangUniversity of Wisconsin–Madison YZYang ZhouHarbin Engineering University GJGhazaleh JafarsalehiUniversity of California, Davis

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Implication

Simulation study demonstrates likelihood-free calibration of car-following controllers in automated vehicles, indicating simple linear models effectively capture commercial cruise control dynamics.

Key Points

To develop and evaluate a likelihood-free stochastic calibration method using Approximate Bayesian Computation for linear and model predictive car-following control models.
Implemented an Approximate Bayesian Computation (ABC) framework that replaces explicit likelihood functions with forward simulations to estimate posterior parameter distributions.
Evaluated the recovery of marginal and joint parameter distributions using synthetic trajectory data across linear and non-analytical model predictive control (MPC) frameworks.
Calibrated and validated trajectory predictions (speed, position, and acceleration) against empirical field data gathered from two commercial adaptive cruise control (ACC) systems.
The ABC approach accurately reproduced marginal and joint parameter distributions for both linear controllers and non-analytical MPC architectures.
Commercial ACC vehicle trajectories were robustly captured, with empirical findings showing that simple linear control structures described commercial ACC behavior better than complex MPC formulations.

Cite This Study

Jiang et al. (2025) studied this question.

synapsesocial.com/papers/6a1747ac3d715b2f195dfaf5 https://doi.org/10.1109/tits.2025.3526318

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Implication

Simulation study demonstrates likelihood-free calibration of car-following controllers in automated vehicles, indicating simple linear models effectively capture commercial cruise control dynamics.

Stochastic Calibration of Automated Vehicle Car-Following Control: An Approximate Bayesian Computation Approach

Discussion

Member takes

Implication

Key Points

Cite This Study

Stochastic Calibration of Automated Vehicle Car-Following Control: An Approximate Bayesian Computation Approach

Discussion

Member takes

Implication

Key Points

Cite This Study

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