Application of the Affinity Propagation Clustering Technique to obtain traffic accident clusters at macro, meso, and micro levels
FS de Moura, CT Nodari - arXiv preprint arXiv:2202.05175, 2022 - arxiv.org
Accident grouping is a crucial step in identifying accident-prone locations. Among the
different accident grouping modes, clustering methods present excellent performance for …
different accident grouping modes, clustering methods present excellent performance for …
[图书][B] Discovering spatial co-clustering patterns in collision data
D Li - 2013 - search.proquest.com
Identifying spatial patterns of collisions is critical for improving the efficiency and
effectiveness of traffic enforcement deployment and road safety. Recently, many studies …
effectiveness of traffic enforcement deployment and road safety. Recently, many studies …
Using clustering algorithms to characterize traffic accidents in the city of Barcelona
Y Errahmouni Barkam - 2023 - upcommons.upc.edu
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 …
of individuals worldwide. These incidents result in many injuries, disabilities, and fatalities …
Clustering algorithms to analyze the road traffic crashes
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 …
accident data is at times confusing and difficult. This paper analyzes shortcomings of …
Discovering spatial co-clustering patterns in traffic collision data
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 …
effectiveness of the deployment of traffic enforcement resources as well as road safety. In …
Clustering of road traffic accidents as a gestalt problem
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 …
“critical” road segments, intended for application in circumstances of limited human or …
Traffic accident segmentation by means of latent class clustering
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 …
remain hidden. Therefore, traffic accident analysis is often performed on a small subset of …
An adaptive clustering approach for accident prediction
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 …
prediction approaches are based on static and uniform grid-based geospatial aggregations …
Identification of accident hotspots using clustering algorithms in machine learning
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 …
Health Organization states that approximately 1.35 million people die each year as a result …
Determining Statistically Significant Road Accident Spatial Hotspots using Machine Learning Approaches
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 …
specified criteria to group a set of geographically dispersed data points together. Effective …