scholarly journals Prediction of Road Traffic Accidents Using a Combined Model Based on IOWGA Operator

2015 ◽  
Vol 43 (3) ◽  
pp. 146-153
Author(s):  
Jianhu Zheng ◽  
Xiongbin Wu
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Road Traffic Accidents ◽  
Combined Model ◽  
Model Based

scholarly journals Combined Prediction Model of Death Toll for Road Traffic Accidents Based on Independent and Dependent Variables

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Feng Zhong-xiang ◽  
Lu Shi-sheng ◽  
Zhang Wei-hua ◽  
Zhang Nan-nan
Keyword(s):  
Linear Regression ◽  
Prediction Model ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Weight Coefficient ◽  
Multivariate Linear Regression ◽  
Road Traffic Accidents ◽  
Linear Regression Models ◽  
Combined Model ◽  
Death Toll

In order to build a combined model which can meet the variation rule of death toll data for road traffic accidents and can reflect the influence of multiple factors on traffic accidents and improve prediction accuracy for accidents, the Verhulst model was built based on the number of death tolls for road traffic accidents in China from 2002 to 2011; and car ownership, population, GDP, highway freight volume, highway passenger transportation volume, and highway mileage were chosen as the factors to build the death toll multivariate linear regression model. Then the two models were combined to be a combined prediction model which has weight coefficient. Shapley value method was applied to calculate the weight coefficient by assessing contributions. Finally, the combined model was used to recalculate the number of death tolls from 2002 to 2011, and the combined model was compared with the Verhulst and multivariate linear regression models. The results showed that the new model could not only characterize the death toll data characteristics but also quantify the degree of influence to the death toll by each influencing factor and had high accuracy as well as strong practicability.

ADHD is a Risk Factor of Road Crashes: A Purposive Study of Finding Relation between ADHD and Road Traffic Accident in Bangladesh

2018 ◽  
Vol 9 (08) ◽  
pp. 20531-20536
Author(s):  
Nusrat Shamima Nur ◽  
M. S. l. Mullick ◽  
Ahmed Hossain
Keyword(s):  
Risk Factor ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Fatality Rate ◽  
Road Traffic Accidents ◽  
Road Crashes ◽  
Road Crash ◽  
Day By Day

Background: In Bangladesh fatality rate due to road traffic accidents is rising sharply day by day. At least 2297 people were killed and 5480 were injured in road traffic accidents within 1st six months of 2017.Whereas in the previous year at 2016 at least 1941 people were killed and 4794 were injured within the 1st six months. No survey has been reported in Bangladesh yet correlating ADHD as a reason of impulsive driving which ends up in a road crash.

Positive Aspects of COVID 19 Pandemic: A Blessing in Disguis

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 187-191
Author(s):  
Anjankar Ashish P ◽  
Anjankar Vaibhav P ◽  
Anjankar Anil J ◽  
Kanyal Lata
Keyword(s):  
Air Pollution ◽  
Heart Attack ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Community Action ◽  
Crime Rates ◽  
Road Traffic Accidents ◽  
Positive Effects ◽  
Positive Side ◽  
The World

COVID 19 is undeniably one of the deadliest diseases that humanity has ever seen. It continues to affect the lives and livelihood of people appallingly across the world. Maximum discussions focus towards the apprehension of catching the infection, dwelling in homes, overpopulated nursing homes and shut down of all kinds. But, here let’s discuss the positive side of COVID 19 pandemic.As COVID 19 has spread its influence all over the world, affected countries have either announced lockdown or have implemented severe restrictions in their respective countries. Because of this, everyone dwells in their homes. Thus, exercising social distancing and functioning from home. All of the above is directed at restricting the transmission of coronavirus and expectantly ostracising the fatality from COVID 19. These transformations have also brought about some unanticipated emanations; some good things have come out of the pandemic as well. Positive effects of COVID 19 are seen on reduced road traffic, and road traffic accidents lowered levels of air pollution which has to lead to lowered heart attack rates and rejuvenating environment. Crime rates have fallen, and expenses are reduced in most places. Community action, communication amongst families, behaviour, sanitation, hygiene, online and distance education has positively impacted by COVID 19 pandemic. COVID 19 despite a bane for humans, can be thought of a boon for living beings. The habitats and elements have been purified with the stringent use of petrochemical products. To breathe fresh air and to consume purified water is a boon by itself. Now, it is time for humans to lead a caring life to every bounty bestowed on them by Nature. This thoughtful and considerate life will give hope for a healthy, stress-free life.

Influence of environmental factors on road traffic accidents: Hospital based cross sectional study at Tirupati

2018 ◽  
Vol 7 (1) ◽  
pp. 52
Author(s):  
Bayapa Reddy N. ◽  
Shakeer Kahn P. ◽  
Surendra Babu D. ◽  
Khadervali N. ◽  
Chandrasekhar C. ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Cross Sectional Study ◽  
Road Traffic Accidents ◽  
Sectional Study ◽  
Cross Sectional

EVALUATION OF THE PATTERNS OF INJURIES IN ROAD TRAFFIC ACCIDENTS IN GREAT CAIRO, EGYPT

2016 ◽  
Vol 16 (2) ◽  
pp. 79-95
Author(s):  
Osama H El Bakash ◽  
Abd El Moty M Kabbash ◽  
Mona SA El Gohary ◽  
Amal SAF Hafez
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Road Traffic Accidents
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