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A literature review of machine learning algorithms for crash injury severity prediction
Introduction: Road traffic crashes represent a major public health concern, so it is of
significant importance to understand the factors associated with the increase of injury …
significant importance to understand the factors associated with the increase of injury …
The statistical analysis of highway crash-injury severities: A review and assessment of methodological alternatives
Reducing the severity of injuries resulting from motor-vehicle crashes has long been a
primary emphasis of highway agencies and motor-vehicle manufacturers. While progress …
primary emphasis of highway agencies and motor-vehicle manufacturers. While progress …
Big data analytics in intelligent transportation systems: A survey
Big data is becoming a research focus in intelligent transportation systems (ITS), which can
be seen in many projects around the world. Intelligent transportation systems will produce a …
be seen in many projects around the world. Intelligent transportation systems will produce a …
Effects of speed difference on injury severity of freeway rear-end crashes: Insights from correlated joint random parameters bivariate probit models and temporal …
Rear-end crashes particularly on freeways are the most frequent type of collisions causing
many injuries, damage and congestion. This paper investigates the impact of varying speed …
many injuries, damage and congestion. This paper investigates the impact of varying speed …
Analytic methods in accident research: Methodological frontier and future directions
The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
Traffic accident's severity prediction: A deep-learning approach-based CNN network
M Zheng, T Li, R Zhu, J Chen, Z Ma, M Tang… - IEEE …, 2019 - ieeexplore.ieee.org
In traffic accident, an accurate and timely severity prediction method is necessary for the
successful deployment of an intelligent transportation system to provide corresponding …
successful deployment of an intelligent transportation system to provide corresponding …
Risk factors associated with traffic violations and accident severity in China
G Zhang, KKW Yau, G Chen - Accident Analysis & Prevention, 2013 - Elsevier
With the recent economic boom in China, vehicle volume and the number of traffic accident
fatalities have become the highest in the world. Meanwhile, traffic accidents have become …
fatalities have become the highest in the world. Meanwhile, traffic accidents have become …
RFCNN: Traffic accident severity prediction based on decision level fusion of machine and deep learning model
Traffic accidents on highways are a leading cause of death despite the development of traffic
safety measures. The burden of casualties and damage caused by road accidents is very …
safety measures. The burden of casualties and damage caused by road accidents is very …
[HTML][HTML] Internet of things and data mining: An application oriented survey
P Sunhare, RR Chowdhary… - Journal of King Saud …, 2022 - Elsevier
Advancement in the fields of electronic communication, data processing, and internet
technologies enable easy access to and interaction with a variety of physical devices …
technologies enable easy access to and interaction with a variety of physical devices …
[КНИГА][B] Traffic safety and human behavior
D Shinar - 2017 - emerald.com
“A grave problem that developed in New Hampshire… now has all the motor-vehicle
commissioners of the eastern states in a wax. It's whether radios should be allowed on cars …
commissioners of the eastern states in a wax. It's whether radios should be allowed on cars …