Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques

N Behboudi, S Moosavi, R Ramnath - arXiv preprint arXiv:2406.13968, 2024 - arxiv.org
Traffic accidents pose a severe global public health issue, leading to 1.19 million fatalities
annually, with the greatest impact on individuals aged 5 to 29 years old. This paper …

Trend analysis of traffic management based on literature data mining and graph analysis tools

X Ding, W Liu, C Wang, D Kong, W Tang… - IET Intelligent …, 2023 - Wiley Online Library
Studites on traffic management is crucial for the development of intelligent transportation
systems and smart cities. However, identifying the development stages of traffic …

[HTML][HTML] Toward Safer Roads: Predicting the Severity of Traffic Accidents in Montreal Using Machine Learning

B Muktar, V Fono - Electronics, 2024 - mdpi.com
Traffic accidents are among the most common causes of death worldwide. According to
statistics from the World Health Organization (WHO), 50 million people are involved in traffic …

Special Issue “Neural Network for Traffic Forecasting”

W Jiang - Algorithms, 2023 - mdpi.com
Traffic forecasting is an important research topic in intelligent transportation systems and
smart cities. Various approaches have been proposed for solving this challenging problem …

Urban traffic crash analysis using deep learning techniques

M Sobhana, N Vemulapalli, GSSV Mendu… - … Automatyka, Pomiary W …, 2023 - ph.pollub.pl
Road accidents are concerningly increasing in Andhra Pradesh. In 2021, Andhra Pradesh
experienced a 20 percent upsurge in road accidents. The state's unfortunate position of …

Probabilistic modelling of car traffic accidents

S Göttlich, T Schillinger, A Tosin - arXiv preprint arXiv:2410.00446, 2024 - arxiv.org
We introduce a counting process to model the random occurrence in time of car traffic
accidents, taking into account some aspects of the self-excitation typical of this …

Mitigating Road Accidents in Hilly Regions: An Artificial Intelligence Approach

AP Singh, A Kushwaha, S Saurabh… - 2023 14th …, 2023 - ieeexplore.ieee.org
The intent of this research is to develop a method for predicting traffic accidents in hilly areas
by using a combination of Neural Networks and Genetic Algorithms. The model is built by …

[PDF][PDF] Understanding and Predicting the Risk of Injury Resulting from Vehicle Collisions in Ottawa, Ontario

B Nikkel, A Wu - 2023 - anjawu.com
Road traffic collisions are a serious and on-going threat to human life. Understanding the
features of a collision that increase the likelihood of an injury is useful for increasing …