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CLUSTERING ALGORITHM IN ORDER TO FIND ACCIDENT BLACK SPOTS IDENTIFIED BY GPS COORDIANTES

Szenasi, Sandor, Csiba, Peter

First published: 2014-06-20https://doi.org/10.5593/sgem2014/b21/s8.063View metrics

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  • Citations
  • CrossRef - Citation Indexes: 7
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  • Mendeley - Readers: 29

Publication details

Title
CLUSTERING ALGORITHM IN ORDER TO FIND ACCIDENT BLACK SPOTS IDENTIFIED BY GPS COORDIANTES
Authors
Szenasi, Sandor, Csiba, Peter
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 14th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2014
Pages
Not available yet
ISSN
1314-2704
ISBN
978-619-7105-10-0
Language
en
Publication type
Conference Paper
References26
  1. Road Safety Manual. PIARC Technical Committee on Road Safety. 2003

  2. I. Lizamol, A. Shibu, M. S. Saran, Evaluation and treatment of accident black spots using Geographic Information System, International Journal of Innovative Research in Science Engineering and Technology, Vol. 2., No. 8, 2013, pp. 3866-3873.

  3. K. Geurts, G. Wets, Black Spot Analysis Methods: Literature Review, Steunpunt Verkeersveiligheid bij Stijgende Mobiliteit, 2003, pp. 1-30.

  4. E. K. Reshma, S. U. Sharif, Prioritization of Accident Black Spots Using GIS, International Journal of Emerging Technology and Advanced Engineering, Vol 2., No. 9, 2012, pp. 117-122.

  5. J. Han, M. Kamber, Data Mining. Concepts and Techniques. Elsevier, 2001

  6. S. Sz énási, D. Jankó, Black spot treatment system using a „hunting for irregular pattern” process and a safety knowledge -base, in On safe roads in t he XXI. Century, Budapest, 2006

  7. Gy. Györök, M. Tóth, On Random Numbers in Practice and their Generating Principles and Methods, International Symposium on Applied Informatics and Related Areas: AIS 2010, Székesfehérvár, 2010.11.12, pp. 1-6.

  8. E. Tóth -Laufer, M. Takács, I. J. Rudas, Conjunction and Disjunction Operators in Neuro-Fuzzy Risk Calculation Model Simplification, in 13th IEEE International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, 2012.11.20-22, pp. 195-200.

  9. R. E. Precup, S. Preitl S, J. K. Tar, M. L. Tomescu, M. Takács, P. Korondi, P. Baranyi, Fuzzy control system performance enhancement by iterative learning control, in IEEE Transactions on Industrial Electronics, 2008, pp. 3461-3475.

  10. Á. Bogárdi-Mészöly, A. Rövid, H. Ishikawa, S. Yokoyama, Z. Vámossy, Tag and Topic Recommendation Systems, ACTA POLYTECHNICA HUNGARICA, Vol. 10 ., No. 6, 2013, pp. 171-191.

  11. M. Kozlovszky, K. Karoczkai, I. Marton, A. Balasko, A. Marosi, P. Kacsuk, Enabling Generic Distributed Computing Infrastructure Compability for Workflow Management Systems, COMPUTER SCIENCE, Vol. 13., No. 3., 2012, pp. 61-78.

  12. J. Tick, Cs. Imreh, Z. Kovács, Business Process Modeling and the Robust PNS Problem, ACTA POLYTECHNICA HUNGARICA, Vol. 10, No. 6., 2013, pp. 193-204.

  13. S. Sergyán, L. Csink, Automatic Parameterization of Region Finding Algorithms in Gray Images, in 4th International Symposium on Applied Computational Intelligence and Informatics, Timisoara, 2007.05.17 -18., pp. 199-202.

  14. Road Safety Manual. PIARC Technical Committee on Road Safety. 2003

  15. I. Lizamol, A. Shibu, M. S. Saran, Evaluation and treatment of accident black spots using Geographic Information System, International Journal of Innovative Research in Science Engineering and Technology, Vol. 2., No. 8, 2013, pp. 3866-3873.

  16. K. Geurts, G. Wets, Black Spot Analysis Methods: Literature Review, Steunpunt Verkeersveiligheid bij Stijgende Mobiliteit, 2003, pp. 1-30.

  17. E. K. Reshma, S. U. Sharif, Prioritization of Accident Black Spots Using GIS, International Journal of Emerging Technology and Advanced Engineering, Vol 2., No. 9, 2012, pp. 117-122.

  18. J. Han, M. Kamber, Data Mining. Concepts and Techniques. Elsevier, 2001

  19. S. Sz énási, D. Jankó, Black spot treatment system using a „hunting for irregular pattern” process and a safety knowledge -base, in On safe roads in t he XXI. Century, Budapest, 2006

  20. Gy. Györök, M. Tóth, On Random Numbers in Practice and their Generating Principles and Methods, International Symposium on Applied Informatics and Related Areas: AIS 2010, Székesfehérvár, 2010.11.12, pp. 1-6.

  21. E. Tóth -Laufer, M. Takács, I. J. Rudas, Conjunction and Disjunction Operators in Neuro-Fuzzy Risk Calculation Model Simplification, in 13th IEEE International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, 2012.11.20-22, pp. 195-200.

  22. R. E. Precup, S. Preitl S, J. K. Tar, M. L. Tomescu, M. Takács, P. Korondi, P. Baranyi, Fuzzy control system performance enhancement by iterative learning control, in IEEE Transactions on Industrial Electronics, 2008, pp. 3461-3475.

  23. Á. Bogárdi-Mészöly, A. Rövid, H. Ishikawa, S. Yokoyama, Z. Vámossy, Tag and Topic Recommendation Systems, ACTA POLYTECHNICA HUNGARICA, Vol. 10 ., No. 6, 2013, pp. 171-191.

  24. M. Kozlovszky, K. Karoczkai, I. Marton, A. Balasko, A. Marosi, P. Kacsuk, Enabling Generic Distributed Computing Infrastructure Compability for Workflow Management Systems, COMPUTER SCIENCE, Vol. 13., No. 3., 2012, pp. 61-78.

  25. J. Tick, Cs. Imreh, Z. Kovács, Business Process Modeling and the Robust PNS Problem, ACTA POLYTECHNICA HUNGARICA, Vol. 10, No. 6., 2013, pp. 193-204.

  26. S. Sergyán, L. Csink, Automatic Parameterization of Region Finding Algorithms in Gray Images, in 4th International Symposium on Applied Computational Intelligence and Informatics, Timisoara, 2007.05.17 -18., pp. 199-202.

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Number of times cited according to Crossref: 7

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