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 …
Factors affecting motorcycle crash casualty severity at signalized and non-signalized intersections in Ghana: Insights from a data mining and binary logit regression …
Despite the countless benefits derived from motorcycle usage, it has become a significant
public health concern, particularly in developing countries, due to the plateauing number of …
public health concern, particularly in developing countries, due to the plateauing number of …
A parallel FP-growth mining algorithm with load balancing constraints for traffic crash data
Y Yang, N Tian, Y Wang, Z Yuan - International Journal of …, 2022 - fsja.univagora.ro
Traffic safety is an important part of the roadway in sustainable development. Freeway traffic
crashes typically cause serious casualties and property losses, being a serious threat to …
crashes typically cause serious casualties and property losses, being a serious threat to …
Ai enabled accident detection and alert system using iot and deep learning for smart cities
As the number of vehicles increases, road accidents are on the rise every day. According to
the World Health Organization (WHO) survey, 1.4 million people have died, and 50 million …
the World Health Organization (WHO) survey, 1.4 million people have died, and 50 million …
[HTML][HTML] Comparative analysis of pedestrian crash severity at United Kingdom rural road intersections and Non-Intersections using latent class clustering and ordered …
A Salehian, K Aghabayk, MA Seyfi… - Accident Analysis & …, 2023 - Elsevier
Pedestrian safety is a critical issue in the United Kingdom (UK) as pedestrians are the most
vulnerable road users. Despite numerous studies on pedestrian-vehicle crashes globally …
vulnerable road users. Despite numerous studies on pedestrian-vehicle crashes globally …
Using latent class clustering and binary logistic regression to model Australian cyclist injury severity in motor vehicle–bicycle crashes
Abstract Introduction: In recent years, Australia is seeing an increase in the total number of
cyclists. However, the rise of serious injuries and fatalities to cyclists has been a major …
cyclists. However, the rise of serious injuries and fatalities to cyclists has been a major …
[HTML][HTML] Shaping a new level of bus service under a novel concept of bus interaction: a meta-review
V Van-Huy, M Kikuchi, H Kubota - Journal of Transportation Technologies, 2023 - scirp.org
Public transport services, particularly bus services, play an important role in a sustainable
transportation system. However, despite various efforts, bus ridership has decreased. The …
transportation system. However, despite various efforts, bus ridership has decreased. The …
[HTML][HTML] Using computer vision and machine learning to identify bus safety risk factors
In road safety research, bus crashes are particularly noteworthy because of the large
number of bus passengers involved and the challenge that it puts to the road network (with …
number of bus passengers involved and the challenge that it puts to the road network (with …
Road accident analysis with data mining approach: evidence from Rome
A Comi, A Polimeni, C Balsamo - Transportation research procedia, 2022 - Elsevier
Nowadays, road accident is one of the main causes of mortality worldwide. Then, measures
are required to reduce or mitigate the accident impacts. The identification of the most …
are required to reduce or mitigate the accident impacts. The identification of the most …
Efficient histogram-based gradient boosting approach for accident severity prediction with multisource data
M Tamim Kashifi, I Ahmad - Transportation research record, 2022 - journals.sagepub.com
Many people lose their lives in road accidents because they do not receive timely treatment
after the accident from emergency medical services; providing timely emergency services …
after the accident from emergency medical services; providing timely emergency services …