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Trucksim identifies operating conditions. The vehicle undergoes a variable acceleration process for the first 15 seconds, reaching a set speed of 20 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$km/h$$\end{document} . After achieving this speed, the vehicle enters a steady-state turning condition with a set turning radius of 20 meters and a steady yaw rate of 0.55 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$rad/s$$\end{document} .

Journal: Scientific Reports

Article Title: Tire-road surface characteristics estimation for skid-steered wheeled vehicle

doi: 10.1038/s41598-025-96066-8

Figure Lengend Snippet: Trucksim identifies operating conditions. The vehicle undergoes a variable acceleration process for the first 15 seconds, reaching a set speed of 20 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$km/h$$\end{document} . After achieving this speed, the vehicle enters a steady-state turning condition with a set turning radius of 20 meters and a steady yaw rate of 0.55 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$rad/s$$\end{document} .

Article Snippet: For the validation of the road adhesion coefficient estimation, a joint simulation approach using TruckSim and Simulink is employed.

Techniques:

Longitudinal acceleration results of vehicle dynamics model and Trucksim model using the identification results.

Journal: Scientific Reports

Article Title: Tire-road surface characteristics estimation for skid-steered wheeled vehicle

doi: 10.1038/s41598-025-96066-8

Figure Lengend Snippet: Longitudinal acceleration results of vehicle dynamics model and Trucksim model using the identification results.

Article Snippet: For the validation of the road adhesion coefficient estimation, a joint simulation approach using TruckSim and Simulink is employed.

Techniques:

The yaw angular velocity results of the vehicle dynamics model and the Trucksim model using the identification results.

Journal: Scientific Reports

Article Title: Tire-road surface characteristics estimation for skid-steered wheeled vehicle

doi: 10.1038/s41598-025-96066-8

Figure Lengend Snippet: The yaw angular velocity results of the vehicle dynamics model and the Trucksim model using the identification results.

Article Snippet: For the validation of the road adhesion coefficient estimation, a joint simulation approach using TruckSim and Simulink is employed.

Techniques:

Error analysis of the vehicle dynamics model using the identification results in the  trucksim  model.

Journal: Scientific Reports

Article Title: Tire-road surface characteristics estimation for skid-steered wheeled vehicle

doi: 10.1038/s41598-025-96066-8

Figure Lengend Snippet: Error analysis of the vehicle dynamics model using the identification results in the trucksim model.

Article Snippet: For the validation of the road adhesion coefficient estimation, a joint simulation approach using TruckSim and Simulink is employed.

Techniques: Standard Deviation

Under different road surface conditions, the relationship between slip ratio and the utilization of the road adhesion coefficient can be represented by slip ratio-utilization curves.

Journal: Scientific Reports

Article Title: Tire-road surface characteristics estimation for skid-steered wheeled vehicle

doi: 10.1038/s41598-025-96066-8

Figure Lengend Snippet: Under different road surface conditions, the relationship between slip ratio and the utilization of the road adhesion coefficient can be represented by slip ratio-utilization curves.

Article Snippet: To validate the proposed algorithm for estimating the road adhesion coefficient and tire stiffness of multi-axle wheeled vehicles, joint simulations using TruckSim/Simulink and experiments on a skid-steered differential steering platform were conducted to demonstrate the effectiveness and accuracy of the algorithm.

Techniques:

Error analysis of the estimation results of  road adhesion coefficient.

Journal: Scientific Reports

Article Title: Tire-road surface characteristics estimation for skid-steered wheeled vehicle

doi: 10.1038/s41598-025-96066-8

Figure Lengend Snippet: Error analysis of the estimation results of road adhesion coefficient.

Article Snippet: To validate the proposed algorithm for estimating the road adhesion coefficient and tire stiffness of multi-axle wheeled vehicles, joint simulations using TruckSim/Simulink and experiments on a skid-steered differential steering platform were conducted to demonstrate the effectiveness and accuracy of the algorithm.

Techniques:

Dry cement road test conditions and adhesion coefficient estimation results.

Journal: Scientific Reports

Article Title: Tire-road surface characteristics estimation for skid-steered wheeled vehicle

doi: 10.1038/s41598-025-96066-8

Figure Lengend Snippet: Dry cement road test conditions and adhesion coefficient estimation results.

Article Snippet: To validate the proposed algorithm for estimating the road adhesion coefficient and tire stiffness of multi-axle wheeled vehicles, joint simulations using TruckSim/Simulink and experiments on a skid-steered differential steering platform were conducted to demonstrate the effectiveness and accuracy of the algorithm.

Techniques:

Dry dirt road test conditions and adhesion coefficient estimation results.

Journal: Scientific Reports

Article Title: Tire-road surface characteristics estimation for skid-steered wheeled vehicle

doi: 10.1038/s41598-025-96066-8

Figure Lengend Snippet: Dry dirt road test conditions and adhesion coefficient estimation results.

Article Snippet: To validate the proposed algorithm for estimating the road adhesion coefficient and tire stiffness of multi-axle wheeled vehicles, joint simulations using TruckSim/Simulink and experiments on a skid-steered differential steering platform were conducted to demonstrate the effectiveness and accuracy of the algorithm.

Techniques: