OPTIMIZING ROAD SAFETY: THE ROLE OF GEOGRAPHIC INFORMATION SYSTEMS (GIS) IN TRAFFIC ACCIDENT ANALYSIS AND PREDICTION

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dc.contributor.authorAlfaras, Mohammed Shukur
dc.contributor.authorKaran, Oğuz
dc.contributor.authorKurnaz, Sefer
dc.date.accessioned2025-06-13T04:51:04Z
dc.date.available2025-06-13T04:51:04Z
dc.date.issued2025
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalı
dc.description.abstractThis study investigates the application of Geographic Information Systems (GIS) in traffic accident analysis and prediction. By integrating GIS with deep learning techniques, the research highlights how spatial data management and analysis can enhance road safety. Key objectives include identifying accident hotspots, optimizing traffic control systems, and improving emergency response. The methodology involves a comprehensive review of existing literature, emphasizing GIS's role in data integration, spatial analysis, and predictive modeling. Findings demonstrate that GIS significantly contributes to understanding traffic patterns, predicting accidents, and formulating targeted safety interventions. Challenges such as data complexity, real-time processing, and model interpretability are addressed, offering future directions for leveraging GIS in road safety management. The study concludes that GIS, combined with advanced analytics, presents a powerful tool for reducing traffic accidents and enhancing overall traffic safety.
dc.identifier.citationAlfaras, M. S., Karan, O., Kurnaz, S. (2025). Optimizing road safety : the role of geographic information systems (GIS) in traffic accident analysis and prediction. Proceedings on Engineering Sciences, 7(1), 33-42. 10.24874/PES07.01.005
dc.identifier.doi10.24874/PES07.01.005
dc.identifier.endpage42
dc.identifier.issn2620-2832
dc.identifier.issue1
dc.identifier.scopus2-s2.0-105000049768
dc.identifier.scopusqualityQ3
dc.identifier.startpage33
dc.identifier.urihttps://hdl.handle.net/20.500.12939/5778
dc.identifier.volume7
dc.indekslendigikaynakScopus
dc.institutionauthorAlfaras, Mohammed Shukur
dc.institutionauthorKaran, Oğuz
dc.institutionauthorKurnaz, Sefer
dc.language.isoen
dc.publisherFaculty of Engineering, University of Kragujevac
dc.relation.ispartofProceedings on Engineering Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Öğrenci
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectDeep learning integration
dc.subjectEmergency response optimization
dc.subjectGeographic Information Systems (GIS)
dc.subjectPredictive modeling
dc.subjectRoad safety
dc.subjectSpatial data management
dc.subjectTraffic accident analysis
dc.subjectTraffic control systems
dc.titleOPTIMIZING ROAD SAFETY: THE ROLE OF GEOGRAPHIC INFORMATION SYSTEMS (GIS) IN TRAFFIC ACCIDENT ANALYSIS AND PREDICTION
dc.typeArticle

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