TY - JOUR ID - 798 TI - Introducing automatic control method of speed limit signs safety standards before horizontal curves via Mobile Mapping System JO - Amirkabir Journal of Civil Engineering JA - CEEJ LA - en SN - 2588-297X AU - Tabibi, M. AU - Koloushani, M. R. AU - Fatemi, A. AD - ITS Specialist and Assistant Professor, Civil and Environmental Engineering Department, Amirkabir University of Technology AD - M.Sc., Civil and Environmental Engineering Department, Amirkabir University of Technology AD - M.Sc., Electronics and Telecommunications Department, Norwegian University of Science and Technology Y1 - 2016 PY - 2016 VL - 48 IS - 3 SP - 301 EP - 314 KW - Automation KW - Global Positioning System KW - Horizontal Curve KW - Image processing KW - Mobile Mapping System KW - Road Safety KW - Road Safety Audit KW - Speed Limit Sign KW - Support Vector Machine DO - 10.22060/ceej.2016.798 N2 - Provision of a safe situation in the road transport has a great importance and might require huge costs.To reach to a safe situation, general and specific information about road specification would be essentialand provision of such information might require major costs. Mobile mapping can be addressed as amodern tool by which users (auditors) would be able to do inspection remotely via gathering various dataand integration of related data. The main aim of such a research is to automate the required procedure,specially focusing on “allowable speed” signs at horizontal curves. Such automation saves time andmoney and increases the accuracy of audit via replacing the task of audit from human to machine. In theproposed methodology, two steps might be taken: while in the first phase the geographical data of thecenterline will be gathered in the second phase image processing would take place to recognize whetherthere is a consistency between signs and geometric design of the curve. The data gathered throughthese two phases will be compared with thresholds addressed in road design manuals to check whetherroad meets standards or not. The accuracy of the proposed method for horizontal curves was provedto be 90% for the horizontal curve radius calculation and it was 97% for the beginning point of thehorizontal curve determination. Besides application of support vector machine leads to 92% accuracy inidentification of the signs and 97% accuracy in speed limit distinction. UR - https://ceej.aut.ac.ir/article_798.html L1 - https://ceej.aut.ac.ir/article_798_d530da156c9d0d97a5337e7979175d31.pdf ER -