Sep 18, 2024 · ... The dataset consists of information about road accident type, the age of the victim, the location of accidents, time and date of accidents, ...
Sep 26, 2017 · This research work focuses on casualty class based or road user-based classification of a road accident. The paper describes the Self Organizing ...
This study has performed the classification of road accident on the basis of road user category using Self Organizing map, K-modes clustering technique, ...
Jan 7, 2022 · In this study, we have performed the classification of road accident on the basis of road user category. We have used Self Organizing map (SOM), ...
In order to predict the pattern of new road accident, an association and classification data mining technique are used that is, Apriori and Naïve Bayes ...
In this paper we apply statistics analysis and data mining algorithms on the FARS Fatal Accident dataset as an attempt to address this problem.
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Road-User Specific Analysis of Traffic Accident Using Data Mining ... - OUCI
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Road-User Specific Analysis of Traffic Accident Using Data Mining Techniques ... analysis of heterogeneity in road accident data using data mining techniques.
Prayag Tiwari , Sachin Kumar , Denis Kalitin : Road-User Specific Analysis of Traffic Accident Using Data Mining Techniques. CICBA (2) 2017: 398-410.
A number of factors contribute to the risk of collision, including vehicle design, speed of operation, road design, road environment, and driver skill, ...
Here, three data mining algorithms namely Apriori, Naïve-Bayes and K-Means are applied on the accident dataset to predict the accident severity. Apriori ...