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Title: A data coding and screening system for accident risk patterns: A learning system
Authors: Geçer Sargın, Feral
Geçer Sargın, Feral
Duvarcı, Yavuz
Duvarcı, Yavuz
İnan, E.
İnan, E.
Kumova, Bora İsmail
Kumova, Bora İsmail
Atay Kaya, İlgi
Atay Kaya, İlgi
Keywords: Traffic accidents
Learning systems
Data mining
Similarity index
Publisher: WITPress
Source: Geçer Sargın, F., Duvarcı, Y., İnan, E., Kumova, B. İ., and Atay Kaya, İ. (2011). A data coding and screening system for accident risk patterns: A learning system. WIT Transactions on the Built Environment, 116, 505-516. doi:10.2495/UT110431
Abstract: Accidents on urban roads can occur for many reasons, and the contributing factors together pose some complexity in the analysis of the casualties. In order to simplify the analysis and track changes from one accident to another for comparability, an authentic data coding and category analysis methods are developed, leading to data mining rules. To deal with a huge number of parameters, first, most qualitative data are converted into categorical codes (alpha-numeric), so that computing capacity would also be increased. Second, the whole data entry per accident are turned into ID codes, meaning each crash is possibly unique in attributes, called 'accident combination', reducing the large number of similar value accident records into smaller sets of data. This genetical code technique allows us to learn accident types with its solid attributes. The learning (output averages) provides a decision support mechanism for taking necessary cautions for similar combinations. The results can be analyzed by inputs, outputs (attributes), time (years) and the space (streets). According to Izmir's case results; sampled data and its accident combinations are obtained for 3 years (2005 - 2007) and their attributes are learned. © 2011 WIT Press.
Description: 17th International Conference on Urban Transport and the Environment - UT 2011; Pisa; Italy; 6 June 2011 through 8 June 2011
ISBN: 9781845645205
ISSN: 1743-3509
Appears in Collections:City and Regional Planning / Şehir ve Bölge Planlama
Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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