Event Data Recorder Pre-Crash Data Sources for General Motors Vehicles

2003 ◽  
Author(s):  
John C. Steiner
Keyword(s):  
Data Retrieval ◽  
Operating Mode ◽  
General Motors ◽  
Vehicle Speed ◽  
Event Data ◽  
Crash Data ◽  
Existing Problems ◽  
Passenger Vehicles ◽  
Brake Application ◽  
Model Year

The Event Data Recorder (EDR) found in some 1994 model year and newer General Motors (GM) passenger vehicles has the ability to record up to five seconds of pre-crash data. Such as vehicle speed, engine speed, percent throttle application and brake application before a predetermined deceleration event as well as crash data such as delta-v’s. The pre-crash and crash data can be downloaded by properly equipped and trained personnel using the Vetronix Crash Data Retrieval (CDR) System. However, this data must not simply be taken at face value; the Accident Analyst must be aware of the nature of the differing types and sources of the data, and must ensure that the systems supplying the data was in a normal operating mode and not in a default mode or in a “limp home” mode due to pre existing problems. This paper discusses how different environments and scenarios that the vehicle can be operated in changes how the vehicle will respond to driver inputs thus effecting pre-crash data recorded by the Event Data Recorder.

scholarly journals Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countries

2021 ◽  
Vol 11 (7) ◽  
pp. 101
Author(s):  
Andrew Paul Morris ◽  
Narelle Haworth ◽  
Ashleigh Filtness ◽  
Daryl-Palma Asongu Nguatem ◽  
Laurie Brown ◽  
...  
Keyword(s):  
Autonomous Vehicles ◽  
Red Light ◽  
Road User ◽  
Red Light Running ◽  
Crash Data ◽  
Passenger Vehicles ◽  
Road Users ◽  
Vulnerable Road User ◽  
Vulnerable Road Users ◽  
Road Intersections

(1) Background: Passenger vehicles equipped with advanced driver-assistance system (ADAS) functionalities are becoming more prevalent within vehicle fleets. However, the full effects of offering such systems, which may allow for drivers to become less than 100% engaged with the task of driving, may have detrimental impacts on other road-users, particularly vulnerable road-users, for a variety of reasons. (2) Crash data were analysed in two countries (Great Britain and Australia) to examine some challenging traffic scenarios that are prevalent in both countries and represent scenarios in which future connected and autonomous vehicles may be challenged in terms of safe manoeuvring. (3) Road intersections are currently very common locations for vulnerable road-user accidents; traffic flows and road-user behaviours at intersections can be unpredictable, with many vehicles behaving inconsistently (e.g., red-light running and failure to stop or give way), and many vulnerable road-users taking unforeseen risks. (4) Conclusions: The challenges of unpredictable vulnerable road-user behaviour at intersections (including road-users violating traffic or safe-crossing signals, or taking other risks) combined with the lack of knowledge of CAV responses to intersection rules, could be problematic. This could be further compounded by changes to nonverbal communication that currently exist between road-users, which could become more challenging once CAVs become more widespread.

scholarly journals RADIO FREQUENCY IDENTIFICATION AND IMAGE-BASED FACIAL IDENTIFICATION AS AN EMPLOYEE ATTENDANCE SYSTEM

2020 ◽  
Vol 2 (1) ◽  
pp. 18-26
Author(s):  
Raden Andy Kurniawan ◽  
Umar Zaky
Keyword(s):  
Radio Frequency ◽  
Programming Languages ◽  
Radio Frequency Identification ◽  
Personal Data ◽  
Data Retrieval ◽  
Application Development ◽  
Existing Problems ◽  
Frequency Identification ◽  
Employee Attendance ◽  
Facial Identification

The current development of microcontroller technology can be used to build a presence system for employees. The employee attendance system uses radio frequency identification and facial identification which is designed and built to make it easier to do attendance data recording, so that the data obtained can be precise and accurate. Data collection techniques, namely by interview and observation. The application development process uses the PHP and Python programming languages ​​with Visual Studio Code software applications, Arduino Uno, MySQL software as a database server, and XAMPP as a support. The input used in this system is the employee's personal data and the results of employee face data retrieval which are stored in the .jpg format. The faces taken were taken from 4 people where each face was taken 20 face samples. The results are in the form of web and applications that will provide solutions to existing problems. The conclusion of this application makes it easy to do the recording and attendance, and minimize the fraud committed by employees. Retrieval of face data was taken as much as 20 data with the highest level of accuracy was 87% when the presence test was carried out.

scholarly journals Absolute Properties of Arbitration Decision in Business Dispute Settlement Based on Law No. 30 of 1999 on Arbitration and Alternative Dispute Resolution Law Based on Justice Theory Perspective

2017 ◽  
Vol 4 (3) ◽  
pp. 296
Author(s):  
Aryani Witasari
Keyword(s):  
Legal Status ◽  
Dispute Settlement ◽  
Data Retrieval ◽  
Legal Authority ◽  
Literature Study ◽  
Theory Of Justice ◽  
Existing Problems ◽  
Legal Power ◽  
Legal Relationship ◽  
Alternative Dispute Settlement

Article 2 of Law Number 30 Year 1999 concerning Arbitration and Alternative Dispute Settlement indicates that dispute settlement or disagreement among parties in a certain legal relationship shall be the authority of the arbitration institution, if it has been agreed in an arbitration agreement. This research tried to criticize the concept of absolute nature of the arbitral decision in the settlement of business dispute in the perspective of the theory of justice. Method of data retrieval used in this research was by collecting literature study by studying data and analyzing the entire contents of library by linking to existing problems. The final and legally binding arbitral decision, if associated with Aristotle's corrective theory of justice, does not at all reflect the basic value of justice. This is indicated by not giving an opportunity for another party whose position is higher to correct the decision, whereas in the judicial system, the court as an ordinary court having legal status (legal statue) and legal authority (legal authority/legal power). Verdict the panel of judges can still be corrected through the usual remedies (appeals) and extraordinary reviews.

scholarly journals Sistem Pengamatan Kondisi Lalu Lintas Berbasis Data GPS pada Smartphone (Studi Kasus : Kota Denpasar)

2020 ◽  
Vol 7 (4) ◽  
pp. 667
Author(s):  
Gede Herdian Setiawan ◽  
I Ketut Dedy Suryawan
Keyword(s):  
Real Time ◽  
Traffic Congestion ◽  
Data Retrieval ◽  
Traffic Information ◽  
Vehicle Speed ◽  
Observation Model ◽  
Economic Activities ◽  
Traffic Condition ◽  
Traffic Conditions ◽  
Real Time Traffic

<p>Pertumbuhan jumlah kendaraan yang semakin meningkat setiap tahunnya mengakibatkan volume kendaraan yang melintasi ruas jalan semakin padat yang kerap mengakibatkan kemacetan lalu lintas. Kemacetan lalu lintas dapat menjadi beban biaya yang signifikan terhadap kegiatan ekonomi masyarakat. Informasi lalu lintas yang dinamis seperti informasi kondisi lalu lintas secara langsung <em>(real time)</em> akan membantu mempengaruhi aktivitas masyarakat pengguna lalu lintas untuk melakukan perencanaan dan penjadwalan aktivitas yang lebih baik. Penelitian ini mengusulkan model pengamatan kondisi lalu lintas berbasis data GPS pada <em>smartphone</em>, untuk informasi kondisi lalu lintas secara langsung. GPS <em>Receiver</em> pada <em>smartphone</em> menghasilkan data lokasi secara instan dan bersifat mobile sehingga dapat digunakan untuk pengambilan data kecepatan kendaraan secara langsung. Kecepatan kendaraan diperoleh berdasarkan jarak perpindahan koordinat kendaraan dalam satuan detik selanjutnya di konversi menjadi satuan kecepatan (km/jam) kemudian data kecepatan kendaraan di proses menjadi informasi kondisi lalu lintas. Secara menyeluruh model pengamatan berfokus pada tiga tahapan, yaitu akuisisi data kecepatan kendaraan berbasis GPS pada <em>smartphone</em>, pengiriman data kecepatan dan visualisasi kondisi lalu lintas berbasis GIS. Pengujian dilakukan pada ruas jalan kota Denpasar telah mampu mendapatkan data kecepatan kendaraan dan mampu menunjukkan kondisi lalu lintas secara langsung dengan empat kategori keadaan lalu lintas yaitu garis berwarna hitam menunjukkan lalu lintas macet dengan kecepatan kendaraan kurang dari 17 km/jam, merah menunjukkan padat dengan kecepatan kendaraan 17 km/jam sampai 27 km/jam, kuning menunjukkan sedang dengan kecepatan kendaraan 26 km/jam sampai 40 km/jam dan hijau menunjukkan lancar dengan kecepatan kendaraan diatas 40 km/jam.</p><p> </p><p><em><strong>Abstract</strong></em></p><p class="Abstract"><em>The growth in the number of vehicles that is increasing every year has resulted in the volume of vehicles crossing the road increasingly congested which often results in traffic congestion. Traffic congestion can be a significant cost burden on economic activities. Dynamic traffic information such as information on real time traffic conditions will help influence the activities of the traffic user community to better plan and schedule activities. This study proposes a traffic condition observation model based on GPS data on smartphones, for information on real time traffic conditions. The GPS Receiver on the smartphone produces location and coordinate data instantly and is mobile so that it can be used for direct vehicle speed data retrieval. Vehicle speed is obtained based on the displacement distance of the vehicle's coordinates in units of seconds and then converted into units of speed (km / h), the vehicle speed data is then processed into information on traffic conditions. Overall, the observation model focuses on three stages, namely GPS-based vehicle speed data acquisition on smartphones, speed data delivery and visualization of GIS-based traffic conditions. Tests carried out on the Denpasar city road segment have been able to obtain vehicle speed data and are able to show traffic conditions directly with four categories of traffic conditions, namely black lines indicating traffic jammed with vehicle speeds of less than 17 km / h, red indicates heavy with speed vehicles 17 to 27 km / h, yellow indicates medium speed with vehicles 26 km/h to 40 km / h and green shows fluent with vehicle speeds above 40 km / h.</em></p><p><em><strong><br /></strong></em></p>

scholarly journals Vehicle mismatch – a case study

2021 ◽  
Author(s):  
Roman Mikulec ◽  
Pavlína Moravcova ◽  
Kateřina Bucsuházy ◽  
Martina Kostíková ◽  
Jakub Motl
Keyword(s):  
Czech Republic ◽  
Traffic Accidents ◽  
Safety Equipment ◽  
Crash Data ◽  
Passenger Vehicles ◽  
Factors Analysis ◽  
Similar Weight ◽  
Serious Injuries ◽  
Simulation Programme

Sport utility vehicles (SUV) gain more popularity and with more manufacturers being involved in their production their accessibility rises as well. This however creates an opportunity for collisions with smaller passenger vehicles. There is obvious mismatch in weight, stiffness and height between SUVs and other, smaller passenger vehicles. Furthermore, the average age of passenger vehicles in Czech Republic is over 15 years. Even when these older vehicles crash even with vehicle of similar weight and build, there is a significant mismatch in stiffness and safety equipment (especially airbags). These kinds of vehicle mismatches thus create risk of more serious injuries in case of crashes. The Czech In-Depth Accident Study project (CzIDAS) collects on-site crash data and injury data for further analysis of traffic accidents in order to present traffic risk factors. Analysis of vehicles’ collision speed and damage is carried out and verified using simulation programme calculation, information about passengers’ injuries is obtained from contracted hospital facilities. The traffic accidents presented in this case study serve to showcase the risks associated with vehicle mismatch crashes, currently happening on roads of Czech Republic.

The Timing of Pre-Crash Data Recorded in General Motors Sensing and Diagnostic Modules

2006 ◽  
Author(s):  
Craig C. Wilkinson ◽  
Jonathan M. Lawrence ◽  
Bradley E. Heinrichs ◽  
David J. King
Keyword(s):  
General Motors ◽  
Crash Data

scholarly journals The effects of gear shift indicator usage on fuel efficiency of a motor vehicle

2017 ◽  
Vol 21 (1 Part B) ◽  
pp. 707-713 ◽  
Author(s):  
Ivan Blagojevic ◽  
Goran Vorotovic ◽  
Dragan Stamenkovic ◽  
Nebojsa Petrovic ◽  
Branislav Rakicevic
Keyword(s):  
Fuel Consumption ◽  
Motor Vehicle ◽  
Fuel Efficiency ◽  
Motor Vehicles ◽  
Vehicle Speed ◽  
Maximum Difference ◽  
Factors Affecting ◽  
Gear Shift ◽  
Passenger Vehicles ◽  
Main Factors

The manner of gear shifting is one of the main factors affecting the fuel efficiency of motor vehicles. Potential savings resulted from optimized gear shifting led to introduction of gear shift indicators in passenger vehicles as an obligation from year 2012. The effects of gear shift indicators usage are still not studied enough. That was the motive for the authors to conduct the experiments to justify their usage, both from the economic and ecological standpoint. The presented results come from the tests conducted on FIAT 500L vehicle to determine the fuel consumption using the new European driving cycle, but for three different gear shift patterns: (1) as defined in UNECE Regulation No. 83, (2) as indicated by vehicle?s gear shift indicator, and (3) based on the average vehicle speed values collected from gear shift indicators of 35 passenger vehicles of different makes, types, and characteristics. Maximum difference in fuel consumption recorded in tests done using three different gear shift patterns is 18.7%.

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