scholarly journals Epidemiology of Non-Morbid Vertebro-Medullary Trauma Following Road Accidents in the Forensic Casuistry of Bihor County, Romania

2018 ◽  
Vol 09 (01) ◽  
Author(s):  
Judea PC ◽  
Tamas R ◽  
Negrutiu B ◽  
Buhas C ◽  
Pascalau A ◽  
...  
Keyword(s):  
Road Accidents

Enhanced Brady-Tachy Heart Automotive (BT-Heartomotive) Device for Heart Rate Monitoring during Driving

2020 ◽  
Vol 17 (1) ◽  
pp. 7599-7606
Author(s):  
M. A. H. Mohd Adib ◽  
N. H. M. Hasni
Keyword(s):  
Heart Rate ◽  
Mobile Applications ◽  
Good Accuracy ◽  
Rate Measurement ◽  
Road Accidents ◽  
Heart Rate Monitoring ◽  
Physical Conditions ◽  
Car Accidents ◽  
Heart Rate Level ◽  
Main Components

Driving with brady-tachy syndrome is one of the main causes of car accidents. In order to prevent drivers from brady-tachy driving, there is a strong demand for driver monitoring systems. Other than problems in driving attitudes and skills, road accidents are also caused by uncontrollable factors such as medical conditions and drowsiness. These factors can be avoided by having early detection. Therefore, the brady-tachy heart automotive so-called BT-Heartomotive device is developed. This BT-Heartomotive device can detect early signs of drowsiness and health problems by measuring the heart rate of the drivers during driving. The device also could use the data to send an alert to the passengers that they’re in precaution. The device shows a good accuracy in the detection of the heart rate level. The device comprised three main components; wristband, monitor and integrated mobile applications. Heart rate measurement can reveal a lot about the physical conditions of an individual. The BT-Heartomotive device is simple, easy to use and automated.

PRZESTĘPSTWA PROWADZENIA POJAZDÓW MECHANICZNYCH W STANIE NIETRZEŹWOŚCI LUB POD WPŁYWEM ŚRODKA ODURZAJĄCEGO (art. 178a § 1 i 4 k.k.)

2015 ◽  
Vol 5 (1) ◽  
pp. 41-53
Author(s):  
Arkadiusz Zaczek
Keyword(s):  
Criminal Code ◽  
Driving Under The Influence ◽  
Court Cases ◽  
Road Accidents ◽  
Eu Countries

In the last decade on Polish roads has been recorded every year, at least 70,000 drivingunder the influence. Such statistics put Poland ahead of EU countries with the highest numberof intoxicated drivers. There is also no doubt that the risk of road accidents is increasing alongwith the number of drivers with are drunk. Although there are numerous publications addressingissues of offences relating to driving under the influence, this publication containing the analysisof court cases with this range. This work also presents consideration for actually meted sanctionsand measures against people who committed offences relating to driving under the influence.Article consist an introduction, codex regulation of art. 178a § 1 and 4 of the Polish Criminal Code,statistical considerations and conclusion.

Driver’s Drowsiness Detection Using Dlib and IOT

2020 ◽  
Vol 10 ◽  
Author(s):  
Prasanna Lakshmi Kompalli ◽  
Padma Vallakati ◽  
Ganapathi Raju Nadimpalli ◽  
Vinod Mahesh Jain ◽  
Samuel Annepogu
Keyword(s):  
Aspect Ratio ◽  
The Other ◽  
Human Intervention ◽  
Road Accidents ◽  
Online Content ◽  
Facial Landmarks ◽  
Drowsiness Detection ◽  
Rear Part ◽  
Cause Of Deaths ◽  
Published Paper

Background: Road accidents are major cause of deaths worldwide. This is enormously due to fatigue, drowsiness and microsleep of the drivers. This don’t just risk the life of driver and copassengers but also a great threat to the vehicles and humans moving around that vehicle. Methods: Research, online content and previously published paper related to drowsiness are reviewed. Using the facial landmarks DAT file, the prototype will locate and get the eye coordinates and it will calculate Eye Aspect Ratio (EAR). The EAR indicates whether the driver is drowsy or not based on the result various sensors gets activated such as Alarm generator, LED Indicators, LCD message scroll, message sent to owner and engine gets locked. Results: The prototype is able to locate eyes in the frame and detect whether the person is sleepy or not. Whenever the person is feeling drowsy alarm gets generated in the cabinet on further if the person is feeling drowsy, LED indicators will start glowing, messaging will be scrolling at the rear part of vehicle so that other vehicles and humans gets cautioned and vehicle slows down and engine gets locked. Conclusion: This prototype will help in reduction of road accidents due to human intervention. It is not only helpful to the person who install it in their vehicles but also for the other vehicles and humans moving around it.

Road Accidents

BMJ ◽  
1947 ◽  
Vol 2 (4528) ◽  
pp. 618-619
Keyword(s):  
Road Accidents

scholarly journals Using the cognitive interview to recall real‐world emotionally stressful experiences: Road accidents

2021 ◽  
Author(s):  
Olivier Dodier ◽  
Magali Ginet ◽  
Frédérique Teissedre ◽  
Fanny Verkampt ◽  
Ronald P. Fisher
Keyword(s):  
Real World ◽  
Cognitive Interview ◽  
Road Accidents ◽  
Stressful Experiences

scholarly journals Event-triggering $${H}_{\infty }$$-based observer combined with NN for simultaneous estimation of vehicle sideslip and roll angles with network-induced delays

2021 ◽  
Vol 103 (3) ◽  
pp. 2733-2752
Author(s):  
Maria Jesus L. Boada ◽  
Beatriz L. Boada ◽  
Hui Zhang
Keyword(s):  
Autonomous Vehicles ◽  
Networked Control System ◽  
Observer Design ◽  
Simultaneous Estimation ◽  
Road Accidents ◽  
Sideslip Angle ◽  
Current Series ◽  
Event Triggering ◽  
Communication Scheme ◽  
Proper Design

AbstractNowadays, vehicles are being fitted with systems that improve their maneuverability, stability, and comfort in order to reduce the number of accidents. Improving these aspects is of particular interest thanks to the incorporation of autonomous vehicles onto the roads. The knowledge of vehicle sideslip and roll angles, which are among the main causes of road accidents, is necessary for a proper design of a lateral stability and roll-over controller system. The problem is that these two variables cannot be measured directly through sensors installed in current series production vehicles due to their high costs. For this reason, their estimation is fundamental. In addition, there is a time delay in the relaying of information between the different vehicle systems, such as, sensors, actuators and controllers, among others. This paper presents the design of an $${H}_{\infty }$$ H ∞ -based observer that simultaneously estimates both the sideslip angle and the roll angle of a vehicle for a networked control system, with networked transmission delay based on an event-triggered communication scheme combined with neural networks (NN). To deal with the vehicle nonlinearities, NN and linear-parameter-varying techniques are considered alongside uncertainties in parameters. Both simulation and experimental results are carried out to prove the performance of observer design.

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