A Clustering-Based Approach to Detecting Critical Traffic Road Segments in Urban Areas

Autor: Ivan Košanin, Milan Gnjatović, Nemanja Maček, Dušan Joksimović
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Axioms, Vol 12, Iss 6, p 509 (2023)
Druh dokumentu: article
ISSN: 2075-1680
DOI: 10.3390/axioms12060509
Popis: This paper introduces a parameter-free clustering-based approach to detecting critical traffic road segments in urban areas, i.e., road segments of spatially prolonged and high traffic accident risk. In addition, it proposes a novel domain-specific criterion for evaluating the clustering results, which promotes the stability of the clustering results through time and inter-period accident spatial collocation, and penalizes the size of the selected clusters. To illustrate the proposed approach, it is applied to data on traffic accidents with injuries or death that occurred in three of the largest cities of Serbia over the three-year period.
Databáze: Directory of Open Access Journals
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