An analysis of causative factors for road accidents using partition around medoids and hierarchical clustering techniques

An analysis of causative factors for road accidents using partition around medoids and hierarchical clustering techniques

Abstract Insufficient progress in the development of national highways and state highways, coupled with a lack of public awareness regarding road safety, has resulted in prevalent traffic congestion and a high rate of accidents. Understanding the dominant and contributing factors that may influence...

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Bibliographic Details
Main Authors: Pendyala Manasa, Pragya Ananth, Priyadarshini Natarajan, K. Somasundaram, E. R. Rajkumar, Kattur Soundarapandian Ravichandran, Venkatesh Balasubramanian, Amir H. Gandomi
Format: Article
Language:English
Published: Wiley 2024-06-01
Series:Engineering Reports
Subjects:
accidents
Calinski–Harabasz index
Davies–Bouldin index
DBSCAN
hierarchal clustering
K‐means
Online Access:https://doi.org/10.1002/eng2.12793

Internet

https://doi.org/10.1002/eng2.12793

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