Event Data Recorder (EDR) Developed by Toyota Motor Corporation

Iyoda, Motomi; Trisdale, Tom; Sherony, Rini; Mikat, Daniel; Rose, William

doi:10.4271/2016-01-1495

Cited by 19 publications

(2 citation statements)

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“…In this case, the deceleration is distributed in more than one axis and the Absolute Linear Altitude (ALA) is considered, which is calculated based on x, y, and z components [21]. To minimize the utilization of resources and system capabilities, a 10 ms Moving Maximum technique [22] was employed. Instead of considering the accelerometer signal that is generated every 0.5 ms with a 2000 Hz, the peak value of each and every 10 ms time window (i.e., …, K-2, K-1, K, K+1, …) was considered as shown in Figure 4.…”

Section: Rotation and Altitudementioning

confidence: 99%

An Accident Detection and Classification System Using Internet of Things and Machine Learning towards Smart City

et al. 2021

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Daily traffic accidents increase annually, causing a significant number of death and disability cases. Most of fatalities occur because of the late response to these emergency cases. The time after the traumatic injury is called the golden hour, where providing essential medical and surgical aid at that time increases the probability of saving human lives by one-third an average. Thus, the focus of this paper was to develop a system based on IoT for accident detection and classification. The system detects and classifies vehicle accidents based on severity level and reports the essential information about the accident to emergency services providers. The system consists of a microcontroller, GPS, and a group of sensors to determine different physical parameters related to vehicle motion. In addition, different types of machine learning classifiers were examined with the developed system to determine the most accurate classifier for the system. The classifiers are the Gaussian Mixture Model (GMM), Naive-Bayes Tree (NB), Decision Tree (DT), and Classification and Regression Trees (CART). The implementation of the system showed that GMM and CART models were better in terms of precision and recall. It was also shown that the severity of accidents depends mainly on the g-force value and fire occurrence.

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Section: Rotation and Altitudementioning

confidence: 99%

An Accident Detection and Classification System Using Internet of Things and Machine Learning towards Smart City

et al. 2021

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“…Many titles can be found in the literature that addresses the issues related to the accuracy of using EDR records. Most of them show a high usefulness of such solutions for accident analysis and present examples of their applications; see, e.g., [5][6][7][8].…”

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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Big Data in Road Transport and Mobility Research

Flannagan

2022

AI-enabled Technologies for Autonomous and Connected Vehicles

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Event Data Recorder (EDR) Developed by Toyota Motor Corporation

Cited by 19 publications

References 0 publications

An Accident Detection and Classification System Using Internet of Things and Machine Learning towards Smart City

An Accident Detection and Classification System Using Internet of Things and Machine Learning towards Smart City

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

Big Data in Road Transport and Mobility Research

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