Identifying spatial patterns of collisions is critical for improving the efficiency and effectiveness of traffic enforcement deployment and road safety. Recently, many studies …
Road traffic accidents are a major public health concern that continues to threaten the safety of individuals worldwide. These incidents result in many injuries, disabilities, and fatalities …
MR Islam, IJ Jenny, M Nayon, MR Islam… - … on Science & …, 2021 - ieeexplore.ieee.org
Selecting an appropriate clustering method as well as an optimal number of clusters in road accident data is at times confusing and difficult. This paper analyzes shortcomings of …
D Li, J Sander, MA Nascimento, DW Kwon - Proceedings of the Sixth …, 2013 - dl.acm.org
Identifying spatial patterns of traffic collisions is critical for improving the efficiency and effectiveness of the deployment of traffic enforcement resources as well as road safety. In …
M Gnjatović, I Košanin, N Maček, D Joksimović - Applied Sciences, 2022 - mdpi.com
This paper introduces and illustrates an approach to automatically detecting and selecting “critical” road segments, intended for application in circumstances of limited human or …
B Depaire, G Wets, K Vanhoof - Accident Analysis & Prevention, 2008 - Elsevier
Traffic accident data are often heterogeneous, which can cause certain relationships to remain hidden. Therefore, traffic accident analysis is often performed on a small subset of …
Traffic accident prediction is a crucial task in the mobility domain. State-of-the-art accident prediction approaches are based on static and uniform grid-based geospatial aggregations …
K Ravikanth, K Chandra Shekar… - Innovations in Computer …, 2022 - Springer
Injuries due to road accidents are one of the most prevalent causes of death. The World Health Organization states that approximately 1.35 million people die each year as a result …
R Jain, A Bhat - … 4th International Conference on Advances in …, 2022 - ieeexplore.ieee.org
Spatial Clustering is a subclass of Unsupervised Machine Learning algorithms that utilizes a specified criteria to group a set of geographically dispersed data points together. Effective …