A perceptual approach for evaluating vehicle drivability in a dynamic driving simulator

Baumgartner, Edwin; Ronellenfitsch, Andreas; Reuss, Hans-Christian; Schramm, Dieter

doi:10.1016/j.trf.2019.03.013

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…At present, static test evaluation is widely used in domestic automotive transmission manufacturers, and it is also the preferred way to test and evaluate the performance of gear selection and shifting. 16,17 Because the transmission gear is in a static state during the measurement, it has no effect on the selection and shifting of gears, while the customers are in the vehicle operation and the transmission working state to select and shifting gears. Therefore, the static test and evaluation cannot reflect the performance of the vehicle in the running state, which is contrary to the use of customers, and there are irreparable loopholes.…”

Section: Static Test Evaluationmentioning

confidence: 99%

“…When the vehicle is stationary and the engine is shut down, the gear selection and shifting force and travel at the ball head of the control handle are taken as the evaluation indicators. At present, static test evaluation is widely used in domestic automotive transmission manufacturers, and it is also the preferred way to test and evaluate the performance of gear selection and shifting 16,17 …”

Section: Vehicle Shifting System Testingmentioning

confidence: 99%

See 1 more Smart Citation

Testing and analysis of automotive gearshift performance based on gear shift analysis

Shen¹,

Zhang²,

Chen

et al. 2020

Engineering Reports

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With the increasing demand for vehicle handling comfort in the market, the development of gear shifting performance test systems for automobile transmission has become one of the keys to improving the competitiveness of automobile products. In order to continuously improve the shifting quality of the automobile gearshift control, this research focuses on the study of shifting quality, uses GSA (gear shift analysis) test technology to test and verify the shifting performance of a domestic automobile gearbox, establishes the subjective and objective evaluation criteria for the shifting performance of automobile gearbox, provides a reliable theoretical basis for product optimization design and shifting performance evaluation, and formulates shifting control pertinently. Strategies and optimization measures to ensure that the power, ride, and transmission of the whole vehicle system meet the technical requirements and can shift quickly and smoothly. Not only does this allows to reduce the driver's fatigue strength, but also increases the comfort of the whole shifting process, so as to provide direction to improve the quality of the vehicle's shifting performance and effectively reduce the impact on the driver's health.

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Section: Static Test Evaluationmentioning

confidence: 99%

Section: Vehicle Shifting System Testingmentioning

confidence: 99%

Testing and analysis of automotive gearshift performance based on gear shift analysis

Shen¹,

Zhang²,

Chen

et al. 2020

Engineering Reports

View full text Add to dashboard Cite

show abstract

“…In addition to simulators' fidelity, usability is another important feature that is explored in research work. For instance, Baumgartner et al explored the use of the Just Noticeable Difference (JND) as a metric to distinguish between several acceleration profiles resulting from different powertrain setups and evaluate drivability in driving simulators (Baumgartner, Ronellenfitsch, Reuss, & Schramm, 2019). As simulators generally involve motion scaling due to workspace limitations, perception may be affected.…”

Section: Contributionsmentioning

confidence: 99%

Driving Simulation & Virtual Reality: Introduction to the Special issue of TRF

Chardonnet

Kemeny

Charlton

2020

Transportation Research Part F: Traffic Psychology and Behaviou

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“…Here the motion scaling effect is analyzed on the driving simulator. Here, it is aimed to explain the difference in perception between driving simulator and real road tests [51].…”

Section: Introductionmentioning

confidence: 99%

Feature Extraction and NN-Based Enhanced Test Maneuver Deployment for 2 DoF Vehicle Simulator

et al. 2023

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This paper presents a deployment method of various test maneuver scenarios for 2 degree of freedom (2 DoF) vehicle simulator by using feature extraction and neural networks (NN). A prototype version has been set up for the 2 DoF vehicle simulator. Then, a hardware in the loop (HIL) model with 2 inputs (torque, τ 1 -τ 2 ) and 3 outputs (acceleration, a x -a y -a z ) is created. System identification is performed to obtain the training data of NNs to be used for the deployment of test maneuvers. In the system identification process, 2 arbitrary sinusoidal torque signals (τ 1 -τ 2 ) are generated by using the actuator specs of the 2 DoF vehicle simulator. By applying the generated torque signals to the actuators, acceleration (a x -a y -a z ) data are collected from the inertial measurement sensor (IMU) on the 2 DoF vehicle simulator. It is determined to create 3 different NN models for the obtained data. The 1st NN model is trained with 3 inputs (a x -a y -a z ) and 2 targets (τ 1 -τ 2 ) training data. The 2nd NN model is trained with 6 inputs (amplitudes and phases of a x -a y -a z ) and 2 targets (τ 1 -τ 2 ) training data. The input data features for the 2nd NN model is extracted by using the Fast Fourier Transform (FFT). The 3rd NN model is trained with 6 inputs (amplitudes and phases of a x -a y -a z ) and 4 targets (amplitudes and phases of τ 1 -τ 2 ) training data. For the 3rd NN model, the features of input and target data are extracted by using the FFT. The NN training process continues until acceptable performance criteria are reached. Then, 3 NN models are run and analyzed under various test scenarios such as Double Lane Change, Constant Radius, Increase Steer, Fish Hook, Sine with Dwell and Swept Sine. Only for the 3rd NN, the actuator signals (τ 1 -τ 2 ) are recomposed by applying an inverse FFT process to the 4 targets (amplitudes and phases of τ 1 -τ 2 ). Finally, the reference trajectory tracking performances are evaluated by comparing the NN models that are run under the test scenarios.

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A perceptual approach for evaluating vehicle drivability in a dynamic driving simulator

Cited by 6 publications

References 11 publications

Testing and analysis of automotive gearshift performance based on gear shift analysis

Testing and analysis of automotive gearshift performance based on gear shift analysis

Driving Simulation & Virtual Reality: Introduction to the Special issue of TRF

Feature Extraction and NN-Based Enhanced Test Maneuver Deployment for 2 DoF Vehicle Simulator

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