A literature review of machine learning algorithms for crash injury severity prediction

K Santos, JP Dias, C Amado - Journal of safety research, 2022 - Elsevier
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 …

The statistical analysis of highway crash-injury severities: A review and assessment of methodological alternatives

PT Savolainen, FL Mannering, D Lord… - Accident Analysis & …, 2011 - Elsevier
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 …

Big data analytics in intelligent transportation systems: A survey

L Zhu, FR Yu, Y Wang, B Ning… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …

Analytic methods in accident research: Methodological frontier and future directions

FL Mannering, CR Bhat - Analytic methods in accident research, 2014 - Elsevier
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 …

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 …

[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 …

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 …

[图书][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 …

Analysis of traffic injury severity: An application of non-parametric classification tree techniques

LY Chang, HW Wang - Accident Analysis & Prevention, 2006 - Elsevier
Statistical regression models, such as logit or ordered probit/logit models, have been widely
employed to analyze injury severity of traffic accidents. However, most regression models …

The effect of traffic and road characteristics on road safety: A review and future research direction

C Wang, MA Quddus, SG Ison - Safety science, 2013 - Elsevier
Understanding factors affecting road accidents is an important area in road safety research.
This paper provides a review of the factors, with specific focus on traffic and road related …