[HTML][HTML] About calibration of car-following dynamics of automated and human-driven vehicles: Methodology, guidelines and codes

V Punzo, Z Zheng, M Montanino - Transportation Research Part C …, 2021 - Elsevier
general agreement on a sound calibration setting for car-following models is deemed
necessary for comparing results from different studies which use different models and datasets. On …

An algebraic evaluation framework for a class of car-following models

Z Wang, X Zhou, J Wang - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
… However, car-following model calibration is a more complicated task than it seems [24], [25]. …
approach to evaluate and compare a class of car-following models whose parameters can …

Calibrating microscopic car-following models for adaptive cruise control vehicles: Multiobjective approach

F De Souza, R Stern - Journal of Transportation Engineering, Part A …, 2021 - ascelibrary.org
… the general framework of second-order car-following models … method to compare multiple
models across different metrics. … difference between calibrating ACC car-following models to …

Simulation Strategies for Mixed Traffic Conditions: A Review of CarFollowing Models and Simulation Frameworks

BN Matcha, SN Namasivayam… - Journal of …, 2020 - Wiley Online Library
… is more complicated as compared to car-following and lane-changing models, giving rise to
… need for model calibration and validation using real-time data. A continuum approach to a …

A comprehensive comparison study of four classical car-following models based on the large-scale naturalistic driving experiment

D Zhang, X Chen, J Wang, Y Wang, J Sun - … Modelling Practice and Theory, 2021 - Elsevier
comparison of the investigated CF models. Then, according to the comparison results, we
modified a CF modelcalibration process that is essential to the comparison results, we set the …

Car-following model calibration based on driving simulator data to study driver characteristics and to investigate model validity in extreme traffic situations

M Berghaus, E Kallo, M Oeser - Transportation research …, 2021 - journals.sagepub.com
calibrate four different car-following models. We also present two applications for which the
calibration … Lastly, we study the model validity in dangerous situations compared with normal …

Dynamic car-following model calibration with deep reinforcement learning

H Naing, W Cai, T Wu, L Yu - 2022 IEEE 25th International …, 2022 - ieeexplore.ieee.org
general framework that provides how to calibrate a CFM both offline and online via DRL, we
take the first initiative to propose such a framework for dynamic CFM calibrationcomparison. …

Calibration and validation of a hybrid traffic flow model based on vehicle trajectory data from a field car-following experiment

R Di Pace, F Storani, ST Zheng, R Jiang… - … B: Transport Dynamics, 2024 - Taylor & Francis
… parameters from result 1A to approach 2A results in a substantial difference of +424.2%
compared to the result obtained with the calibrated parameters for approach 2A. However, …

[PDF][PDF] Calibration of car following model with genetic algorithm and particle swarm optimization methods

Y He - 2022 - mediatum.ub.tum.de
calibrating the car-following model and the methods commonly used. These two methods are
used in this thesis to calibrate the carfollowing model. … shows a summary comparison of the …

Calibrating heterogeneous car-following models for human drivers in oscillatory traffic conditions

M Shang, R Stern - 2020 Forum on Integrated and Sustainable …, 2020 - ieeexplore.ieee.org
… that allows us to calibrate accurate models, specifically in … Three microscopic carfollowing
models are calibrated using a … each model, five traffic flow metrics are constructed to compare