Towards big data analytics and mining for UK traffic accident analysis, visualization & prediction

M Feng, J Zheng, J Ren, Y Liu - Proceedings of the 2020 12th …, 2020 - dl.acm.org
Road traffic accident (RTA) is a big issue to our society due to it is among the main causes of
traffic congestion, human death, health problems, environmental pollution, and economic …

Towards deep learning based traffic accident analysis

A Naseer, MK Nour, BY Alkazemi - 2020 10th Annual …, 2020 - ieeexplore.ieee.org
Due to massive increase in road vehicles, the rate of traffic accidents increases rapidly.
These accidents cause injuries, disabilities and may even result in loss of lives. To analyze …

Road accident severity prediction—a comparative analysis of machine learning algorithms

S Malik, H El Sayed, MA Khan… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Crash severity prediction models enable various agencies to predict the severity of a crash
to gain insights into the factors that affect or are associated with crash severity. One of the …

Fatality prediction for motor vehicle collisions: Mining big data using deep learning and ensemble methods

M Emu, FB Kamal, S Choudhury… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
Motor vehicle crashes are one of the most common causes of fatalities on the roads. Real-
time severity prediction of such crashes may contribute towards reducing the rate of fatality …

Advanced analytics for predicting traffic collision severity assessment

MFI Buian, RA Arde, MM Billah, A Debnath… - World Journal of …, 2024 - wjarr.com
Accurate prediction of accident risks plays a crucial role in proactively implementing safety
measures and allocating resources effectively. This paper introduces an innovative …

Road car accident prediction using a machine-learning-enabled data analysis

S Pourroostaei Ardakani, X Liang, KT Mengistu, RS So… - Sustainability, 2023 - mdpi.com
Traffic accidents have become severe risks as they are one of the causes of enormous
deaths worldwide. Reducing the number of incidents is critical to saving lives and achieving …

ExTraVis: exploration of traffic incidents using a visual interactive system

J Zerafa, MR Islam, MA Kabir… - 2021 25th International …, 2021 - ieeexplore.ieee.org
The impact of road traffic incidents (eg, road accidents, vehicle breakdowns) have become
progressively worse over the years, being a major cause of many adverse issues such as …

Learning spatial patterns and temporal dependencies for traffic accident severity prediction: A deep learning approach

F Alhaek, W Liang, TM Rajeh, MH Javed, T Li - Knowledge-Based Systems, 2024 - Elsevier
Traffic accidents have a substantial impact on human life and property, resulting in millions
of injuries every year. To ensure road safety and enhance the research in this direction, it is …

[PDF][PDF] Data analytics for analysing traffic accidents

RK Jindal, AK Agarwal, AK Sahoo - Test Eng. Manag, 2020 - researchgate.net
Data Analytics is scientificas well as statistical tool for analyzing unrefined data to refurbish
information for acquiring knowledge. It is a discipline that arises to meet the needs for …

Decision support system for the analysis of traffic accident Big Data

HEA El Abdallaoui, A El Fazziki… - … on Signal-Image …, 2018 - ieeexplore.ieee.org
Today, as traffic accidents continue to occur, road safety has become a major concern of
contemporary social problems. Many factors explain traffic accidents, such as the nature of …