M.Sc. Tezi Görüntüleme

Student: Hasan Deniz ALTUNTAŞ
Supervisor: Assoc. Prof. Dr. Mehmet ÇAKIROĞLU
Department: İnşaat Mühendisliği
Institution: Graduate School of Natural and Applied Sciences
University: Karadeniz Technical University, Turkey
Level: M.Sc.
Acceptance Date: 1/1/2005
Number of Pages: 131
Registration Number: i1585

      Over 700.000 people per year lose their lives and over 6.000.000 people injure in the World in traffic accidents. A comprehensive Highway Safety Improvement Program must be applied for reducing traffic accidents. The most important step of a Highway Safety Improvement Program is determining high hazard locations that are “Black Spots”.

In this work, traffic accidents, traffic accidents elements and determining black spots were analyzed deeply. The black spot identification method used by General Directorate of Highways (KGM) was evaluated and its lacks were established and a new method was developed.

      In the new method, unlike the KGM method, a composite index was calculated and then black spots were determined according to this index.

When determining critical values, it is assumed that crash frequency, crash rate and crash severity follow Normal distribution. But none of the data sets follow Normal distribution. For this reason, transformation was applied all data sets. Also for checking data normality GenStat statistical analysis software was used. Best results were obtained from trimming transformation for crash frequency data set and logarithmic transformation for crash rate and crash severity data sets of undivided road sections and cubic root transformation for all data sets of divided road sections.

      The new method and KGM method were applied to a road network to determine the differences between the two methods. The test results were indicated that KGM method ignores 7 black spots.


Keywords: Highway Safety, Traffic Accidents, High Hazard Locations,

       Black spots