Using Vehicle EDR Data to Calculate Motorcycle Delta-V in Motorcycle-Vehicle Lateral Front End Impacts

Fatzinger, Edward; Landerville, Jon

doi:10.4271/2020-01-0885

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…Accordingly, the system-based indicators highlight the differences in impact configurations of crash systems with a dimensionless form, which focus on the effects of crash types, vehicle parameters, and impact eccentricity on occupant injuries. Both types of indicators have been proven to have a substantial influence on the injury outcome because they effectively characterize the main factors affecting the crash consequences: crash morphology and energy transformation [19,36,37]. Therefore, the combination of these indicators can explain the crash mechanism from different dimensions.…”

Section: Pre-crash Variable Selectionmentioning

confidence: 99%

Injury Risk Assessment and Interpretation for Roadway Crashes Based on Pre-Crash Indicators and Machine Learning Methods

et al. 2023

Applied Sciences

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Pre-crash injury risk (IR) assessment is essential for guiding efforts toward active vehicle safety. This work aims to conduct crash severity assessment using pre-crash information and establish the intrinsic mechanism of IR with proper interpretation methods. The impulse–momentum theory is used to propose novel a priori formulations of several severity indicators, including velocity change (ΔV), energy equivalent speed (EES), crash momentum index (CMI), and crash severity index (CSI). Six IR models based on different machine learning methods were applied to a fusion dataset containing 24,082 vehicle-level samples. Prediction results indicate that the pre-crash indicators (PCIs) are more influential than the commonly used basic crash information because the average accuracy of six models can be improved by 14.35% after utilizing PCIs. Furthermore, the features’ importance and their marginal effects are interpreted based on parameter estimation, Shapley additive explanation value, and partial dependence. The ΔV, EES, and CMI are identified as the determinant indicators of the potential IR, and their partial distributions are significantly influenced by the crash type and impact position. Based on partial dependence probabilities, the study establishes decision thresholds for PCIs for each severity category for different impact positions, which can serve as a useful reference for developing targeted safety strategies. These results suggest that the proposed method can effectively improve pre-crash IR assessment, which can be readily transferred to safety-related modeling in an active traffic management system.

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Section: Pre-crash Variable Selectionmentioning

confidence: 99%

Injury Risk Assessment and Interpretation for Roadway Crashes Based on Pre-Crash Indicators and Machine Learning Methods

et al. 2023

Applied Sciences

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“…There are also a few publications directly dealing with the accuracy of determining the parameters that describe the vehicle motion, but they mainly concern the strict collision phase and the determining of the vehicle velocity immediately before and after the collision or the vehicle velocity change during the collision, denoted by ∆V. As examples of such publications, [9][10][11][12][13][14][15][16] may be mentioned. A review of the materials showing the errors that occur when the pre-and post-impact velocities and ∆V are determined has been provided in [17], indicating the possible reasons for the inconsistencies having occurred.…”

Section: Introductionmentioning

confidence: 99%

Are EDR Devices Undoubtedly Helpful in the Reconstruction of a Road Traffic Accident?

Guzek

Lozia

2021

Energies

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All over the world, the vehicles introduced now into the market are usually provided with EDRs (Event Data Recorders), intended to measure and record the parameters that characterise the vehicle motion in the pre-, during-, and post-accident phases. The EDRs are to facilitate the description and reconstruction of possible road accidents. They are patterned on aircraft “black boxes” (flight recorders). Many of them have simplified design, disregarding three (of six) vector components that describe the motion of the vehicle body solid. In the paper presented, the authors used simulation models built by themselves to represent motor vehicle dynamics and the reconstruction of vehicle trajectory and velocities based on records obtained from two EDR types: “aircraft” one (EDR1) and “simplified” one (EDR2). Using a simulation method, they examined the impact of the said simplifications mentioned above on the quality of reconstruction of vehicle motion for four typical manoeuvres in road traffic. The calculation results obtained for input data adopted to rep-resent a medium-class passenger car have shown that the simplifications may cause considerable reconstruction errors. This particularly applies to the manoeuvres where significant changes took place in the roll and pitch angles of the vehicle body solid (to which the EDR was fixed) or where the changes were characterised by absence of symmetry in the parameters that describe the manoeuvre and by the constant sign of the vehicle body roll angles.

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Post-Impact Stability Control for Road Vehicles: State-of-the-Art Methodologies and Perspectives

Wang,

Zhang

et al. 2024

IEEE Trans. Intell. Transport. Syst.

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Using Vehicle EDR Data to Calculate Motorcycle Delta-V in Motorcycle-Vehicle Lateral Front End Impacts

Cited by 4 publications

References 7 publications

Injury Risk Assessment and Interpretation for Roadway Crashes Based on Pre-Crash Indicators and Machine Learning Methods

Injury Risk Assessment and Interpretation for Roadway Crashes Based on Pre-Crash Indicators and Machine Learning Methods

Are EDR Devices Undoubtedly Helpful in the Reconstruction of a Road Traffic Accident?

Post-Impact Stability Control for Road Vehicles: State-of-the-Art Methodologies and Perspectives

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