A DD-SHELL HF Model for Bus Accidents

Author(s):  
Kelvin K. F. Po ◽  
Eric T. T. Wong
Keyword(s):  
2018 ◽  
Vol 95 (3) ◽  
pp. 463-483 ◽  
Author(s):  
Jiansong Wu ◽  
Weipeng Fang ◽  
Xing Tong ◽  
Shuaiqi Yuan ◽  
Weiqi Guo

1994 ◽  
Vol 21 (4) ◽  
pp. 327-354 ◽  
Author(s):  
Andrew W. Evans
Keyword(s):  

Author(s):  
T. Pearce ◽  
D.A.C. Maunder ◽  
T. C. Mbara ◽  
D. M. Babu ◽  
T. Rwebangira

Countries of the developing world are characterized by rapid urbanization, high growth rates of traffic and congestion, and decreasing regulation of public transport. Because the majority of the developing world’s inhabitants depend on public transport services for their mobility needs, safe, effective, and efficient public transport is essential to ensure adequate and affordable accessibility and the sustainable development of livelihoods in the rural and urban sectors. The operational environment of the public transport sector in Nepal, India, Tanzania, and Zimbabwe is examined, as well as the extent of accidents involving public transport vehicles and the likely causes. Finally, recommendations are made to reduce both the severity and the number of public transport accidents.


2020 ◽  
Vol 12 (7) ◽  
pp. 3037 ◽  
Author(s):  
Seok-Woo Jang ◽  
Byeongtae Ahn

In recent years, the casualties of traffic accidents caused by driving cars have been gradually increasing. In particular, there are more serious injuries and deaths than minor injuries, and the damage due to major accidents is increasing. In particular, heavy cargo trucks and high-speed bus accidents that occur during driving in the middle of the night have emerged as serious social problems. Therefore, in this study, a drowsiness prevention system was developed to prevent large-scale disasters caused by traffic accidents. In this study, machine learning was applied to predict drowsiness and improve drowsiness prediction using facial recognition technology and eye-blink recognition technology. Additionally, a CO2 sensor chip was used to detect additional drowsiness. Speech recognition technology can also be used to apply Speech to Text (STT), allowing a driver to request their desired music or make a call to avoid drowsiness while driving.


2021 ◽  
Vol 8 (6) ◽  
Author(s):  
Maureen Koko ◽  
Chika Victory Nkemjika

<p>The study discussed the concept of tort liability as regards to education with a definite focus on its implication for teachers. Torts was simply described as civil wrong which could range from negligence, intentional and strict tort. Tortious liability arises out of breach of duty primarily fixed by the law. This duty is towards persons generally and its breach is redressable by an action for unliquidated damages. School tort liabilities may arise from the following incidents school bus accidents, children injured while crossing school crosswalks, food poisoning from school meals, exposure to hazardous material or chemicals, failure to evacuate children properly, slip and falls on school premises. The study recommended that the teacher should be aware of duties of supervision, duties of instruction, duties to protect and awareness of the health condition of students in the class.</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0796/a.php" alt="Hit counter" /></p>


2013 ◽  
Vol 67 (2) ◽  
pp. 975-977 ◽  
Author(s):  
Zheng Zhaopei ◽  
Qi Shanzhong ◽  
Xu Yuetong
Keyword(s):  
New Type ◽  

Sign in / Sign up

Export Citation Format

Share Document