Detection and Characterization of Road Accident Clusters in Texas Counties
| dc.contributor.advisor | Kunt, Mehmet Metin | |
| dc.contributor.author | Babaei, Zaniar | |
| dc.date.accessioned | 2020-10-27T09:48:06Z | |
| dc.date.available | 2020-10-27T09:48:06Z | |
| dc.date.issued | 2017 | |
| dc.date.submitted | 2017 | |
| dc.department | Eastern Mediterranean University, Faculty of Engineering, Dept. of Civil Engineering | en_US |
| dc.description | Master of Science in Civil Engineering. Thesis (M.S.)--Eastern Mediterranean University, Faculty of Engineering, Dept. of Civil Engineering, 2017. Supervisor: Assist. Prof. Dr. Mehmet Metin Kunt. | en_US |
| dc.description.abstract | Traffic accidents count for one of the main causes of life losses globally as well as heavy burden of their consequents on societies, a matter which prompts researchers to discover the reasons of accidents occurrence and factors affect their severity. Therefore, in this study k-means clustering method is applied to analyze traffic accident data to identify the counties with the highest relatively severe accidents, considering all levels of crash severity, due to driver-related risk factors in Texas State. It analyzes recorded data of the statewide accidents occurred within 2013 to 2015, available from Texas Department of Transportation official website. As a result of this research the counties with similar status of crash severity were identified among which the counties in the most critical situation were distinguished, an outcome that can be useful for authorities such as transportation planners to make appropriate decisions in safety planning. Furthermore, some of the contributor factors that may intensify accidents were addressed. Keywords: Traffic safety, Accident, Severity, K-Means, Clustering | en_US |
| dc.description.abstract | ÖZ: Trafik kazaları günümüzde dünyadaki ölümlerin büyük bir oranını oluştururken, ayni zamanda toplumlar üzerindeki geri dönülemez etkileri de araştırmacılar tarafından büyük dikkat çekmekte ve araştırma konusu olmaktadır. Bu sebeple, bu araştırmada kümeleme metodu uygulanarak sürücü hatalarına bağlı trafik kazalarının Texastaki şehirlere göre olan oranları çıkarılmıştır. Teksas’ta 2013 yılından 2015 yılına kadar olan trafik kazaları bu bağlamda incelenmiş olup Ulaştırma Bakanlığınca yol güvenliğini sağlamak amacıyla yapılabilecek eylemler ve alınabilecek önlemler konusundaki icraatlara yönelik öneriler sunulmuştur. Bu öneriler trafik yönünden Teksas ile benzeşen diğer şehirlerde de kullanılabilir. Anahtar kelimeler: Trafik güvenliği, Kaza, Ciddiyet, K-Means, Kümeleme | en_US |
| dc.identifier.citation | Babaei, Zaniar. (2017). Detection and Characterization of Road Accident Clusters in Texas Counties. Thesis (M.S.), Eastern Mediterranean University, Institute of Graduate Studies and Research, Dept. of Civil Engineering, Famagusta: North Cyprus. | en_US |
| dc.identifier.uri | https://hdl.handle.net/11129/4701 | |
| dc.language.iso | en | |
| dc.publisher | Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ) | en_US |
| dc.relation.publicationcategory | Tez | |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Civil Engineering | en_US |
| dc.subject | Traffic Engineering | en_US |
| dc.subject | Traffic safety | en_US |
| dc.subject | Accident | en_US |
| dc.subject | Severity | en_US |
| dc.subject | K-Means | en_US |
| dc.subject | Clustering | en_US |
| dc.subject | Traffic accidents--Texas--Statistics | en_US |
| dc.title | Detection and Characterization of Road Accident Clusters in Texas Counties | en_US |
| dc.type | Master Thesis |
