Exam Vehicle Simulation Modeling With Real-Parameter Unity3D Physics

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Solution Overview

Problem

Current online simulation training for vehicle driver's license exams lacks accuracy in modeling exam vehicles and simulating driving scenarios, leading to inefficiencies in practical operation skills.

Innovation Solution

A vehicle simulation model modeling method that involves obtaining actual vehicle parameters to create a precise simulation model within the Unity3D platform, incorporating detailed parameters such as wheel colliders, rigid body components, and speed calculation methods, and an examination judgment method that uses real exam scenarios and rule triggers to assess user performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If online simulation training is used for vehicle driver's license exams, then training time can be reduced, but the accuracy of vehicle modeling and simulation becomes insufficient

Engineering Contradiction:
Improvetraining timeVSAvoidmodeling accuracy
Core Design Contradiction:
Loss of timeVSMeasurement precision

Solution Approach 1:

The patent creates a virtual copy of the real exam vehicle by importing actual vehicle parameters into Unity3D, including wheel colliders, ordinary colliders, rigid body components, and detailed parameter settings for powertrain, gear, and vehicle status. This virtual copy replicates the physical vehicle's behavior accurately while enabling online training without time loss.

Inventive Principle:
Principle #26Copying

2Measurement precision

If detailed vehicle parameters and assemblies are added to improve simulation accuracy, then the complexity of the simulation model increases

Engineering Contradiction:
Improvesimulation accuracyVSAvoidmodel complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The vehicle model is segmented into distinct functional components: wheel colliders for rotational motion, ordinary colliders for collision detection, rigid body components for physical properties, and parameter systems for powertrain, gear, and vehicle status. Each segment is configured independently with specific parameters, allowing high accuracy without overwhelming complexity.

Inventive Principle:
Principle #1Segmentation

3Manufacturing precision

If actual vehicle parameters are obtained and detailed parameter settings are configured, then the precision of the simulation model improves, but the time and effort required for model setup increases

Engineering Contradiction:
Improvemodel precisionVSAvoidmodel setup time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary actions by obtaining actual vehicle parameters beforehand and pre-configuring the Unity3D model with all necessary assemblies and parameter settings before simulation begins. The vehicle model is prepared in advance with wheel colliders, ordinary colliders, rigid body components, and detailed parameters for powertrain, gear, and vehicle status, eliminating setup time during actual training.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20240242621A1Vehicle simulation model modeling method and examination judgment method
Publication Date: 2024.07.18 GUILIN UNIV OF ELECTRONIC TECH
  • US20240242621A1 patent drawing
  • US20240242621A1 patent drawing
  • US20240242621A1 patent drawing

AI summary

A vehicle simulation model modeling method includes the following steps: actual parameters of an exam vehicle are obtained, and thereby modeling based on the actual parameters of the exam vehicle to obtain a vehicle model. The vehicle model is imported into a Unity3D™ project and vehicle assemblies are added to the vehicle model. Vehicle start parameters, gear parameters, powertrain parameters, vehicle status parameters, engine parameters, and input coefficients are set for the vehicle model added with vehicle assemblies. In addition, an applydrive method and a carspeed method of Unity3D™ are simultaneously rewrite to calculate the torque and speed of the vehicle model, thereby obtaining the exam vehicle simulation model. By generating more precise models, making the results obtained from simulated exams more accurate, and achieve better simulation results.