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http://dx.doi.org/10.5394/KINPR.2022.46.4.303

A Study on the Safety Navigational Width of Bridges Across Waterways Considering Optimal Traffic Distribution  

Son, Woo-Ju (Safetech Research Co., Ltd.)
Mun, Ji-Ha (Safetech Research Co., Ltd.)
Gu, Jung-Min (Safetech Research Co., Ltd.)
Cho, Ik-Soon (Division of Maritime AI & Cyber Security, Korea Maritime & Ocean University)
Abstract
Bridges across waterways act as interference factors, that reduce the navigable water area from the perspective of navigation safety. To analyze the safety navigational width of ships navigating bridges across waterways, the optimal traffic distribution based on AIS data was investigated, and ships were classified according to size through k-means clustering. As a result of the goodness-of-fit analysis of the clustered data, the lognormal distribution was found to be close to the optimal distribution for Incheon Bridge and Busan Harbor Bridge. Also, the normal distributions for Mokpo Bridge and Machang Bridge were analyzed. Based on the lognormal and normal distribution, the analysis results assumed that the safe passage range of the vessel was 95% of the confidence interval, As a result, regarding the Incheon Bridge, the difference between the normal distribution and the lognormal distribution was the largest, at 64m to 98m. The minimum difference was 10m, which was revealed for Machang Bridge. Accordingly, regarding Incheon Bridge, it was analyzed that it is more appropriate to present a safety width of traffic by assuming a lognormal distribution, rather than suggesting a safety navigation width by assuming a normal distribution. Regarding other bridges, it was analyzed that similar results could be obtained using any of the two distributions, because of the similarity in width between the normal and lognormal distributions. Based on the above results, it is judged that if a safe navigational range is presented, it will contribute to the safe operation of ships as well as the prevention of accidents.
Keywords
safety navigational width; goodness-of-fit; K-means clustering; AIS data; bridge across waterways;
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1 Lee, Y. S., Cho, I. S., Cho, J. H. and Song, C. U.(2008), "A Study on the Analysis of Ship Handling Simulation about Domestic Sea Bridge over the Harbor". Journal of Korean Navigation and Port Research, Vol. 32, No. 5, pp. 321-326.   DOI
2 Lee, Y. S., Park, Y. S., Lee, U., Jeong, C. H. and Park, J. S.(2009), "A study on the Proper Location and Scale of Bridges Crossing Navigable Waterways Considering the Safety of Marine Traffic". Journal of Korean Navigation and Port Research, Vol. 33, No. 5, pp. 295-301.   DOI
3 Park, K. H., Kim, H. S., Kim, Y. S. and Kim, C. S.(2004), "Planning & Design of KOHA Grand Bridge", Magazine and Journal of Korean Society of Steel Construction, Vol. 16, No. 1, pp. 71-82.
4 Park, Y. S., Lee, Y. S., Park, J. S. Cho, I. S. and Lee, U.(2008), "A proposal of Bridge Design Guideline by Analysis of Marine Accident Parameters occurred at Bridge Crossing Navigable Waterways", Journal of Korean Navigation and Port Research, Vol. 32, No. 10, pp. 743-750.   DOI
5 Schwarz, G.(1978), "Estimating the dimension of a model". The annals of statistics, pp. 461-464.
6 Son, W. J. and Cho, I. S.(2022). "Analysis of Trends in Mega-Sized Container Ships Using the K-Means Clustering Algorithm". Applied Sciences, Vol. 12, No. 4, p. 2115
7 Son, W. J., Lee, J. S., Lee, H. T. and Cho, I. S.(2020b), "An Investigation of the Ship Safety Distance for Bridges Across Waterways based on Traffic Distribution". Journal of Marine Science and Engineering, Vol. 8, No. 5, p. 331.
8 Song, T. H. and Kim, Y. D.(2018), "A Study on the Marine Traffic Safety Audit Scheme through Case Analysis" Journal of Coastal Disaster Prevention. Vol. 5, No. 4, pp. 193-201.   DOI
9 Fujii, Y., Makishima, T., and Hara, K.(1981), Marine Traffic Engineering, Kaibundo, pp. 119-129.
10 D'Agostino, R. B. and Stephens, M. A.(1986), Goodness-of-fit techniques. Statistics: Textbooks and Monographs.
11 Gluver, H. and Olsen, D.(1998), Ship Collision Analysis: Proceedings of the international symposium on advances in the ship collision analysis, Copenhagen, Denmark, CRC press, pp. 3-11.
12 Incheon Bridge. Co, Ltd.(2010), Incheon Bridge Construction Note. pp. 2-443.
13 Kim, J. K.(2018), "A Study on the Analysis of Traffic Distribution and Traffic Pattern on Traffic Route using ND-K-S", Journal of Korean Navigation and Port Research, Vol. 42, No. 6, pp. 446-452.
14 Bae, E. H., Kim, S. Y., Kim, R. G., Song, J. H. and Lee T. K.(2008), "Planning, Design and Construction of Machang Grand Bridge", Magazine of the Korea Concrete Institute, Vol. 20, No. 1, pp. 41-51.   DOI
15 Lee, H. T., Lee, J. S., Cho, J. W., Yang, H. and Cho, I. S.(2020), "A Study on the Pattern of Pilot's Maneuvering using K-means Clustering of Ship's Berthing Velocity". Journal of Coastal Disaster Prevention, Vol. 7, No. 4, pp. 221-232.   DOI
16 Ministry of Ocean and Fisheries(2021), The Fourth National Port Basic Plan. pp. 17-18.
17 Tsuji, K.(1996), "Methods of Survey for Marine Traffic" Japan Institute of Navigation, No. 129, pp. 8-18.
18 Son, W. J., Lee, H. T. and Cho, I. S.(2020a), "A study on the Standard of Ship Safety Distance on Bridge Crossing Navigable Waterways based on Traffic Distribution" Journal of Coastal Disaster Prevention. Vol. 7, No. 1, pp. 29-37.   DOI
19 Jang, S. J., Sim, S. B., Han, C. and Kim, M. B.(2012), "Design and Construction of Underground Continuous Wall for Construction of Tower Foundation of North Busan Bridge", Korean Geotechnical Society, Vol. 11, pp. 12-23.
20 Akaike, H.(1974), "A new look at the statistical model identification". IEEE transactions on automatic control, Vol. 19, No. 6, pp. 716-723.   DOI
21 Charrad, M., Ghazzali, N., Boiteau, V. and Niknafs, A. (2014), "NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set". Journal of statistical software, Vol. 61, pp. 1-36.
22 Cullen, A. C. and Frey, H. C.(1999). Probabilistic Techniques in Exposure Assessment: A Handbook for Dealing with Variability and Uncertainty in Models and Inputs. Springer Science & Business Media, pp. 1-335.
23 Delignette-Muller, M. L. and Dutang, C.(2015), "fitdistrplus: An R package for fitting distributions. Journal of statistical software", Vol. 64, No. 4, pp. 1-34.
24 Garcia, S., Luengo, J. and Herrera, F.(2015), Data preprocessing in data mining (Vol. 72), Springer International Publishing, pp. 1-320.
25 Hastie, T., Tibshirani, R., Friedman, J. H. and Friedman, J. H.(2009), The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Vol. 2). Springer., pp. 1-758.
26 Huang, Z.(1998), "Extensions to the K-means Algorithm for Clustering large data sets with categorical values". Data Mining and Knowledge Discovery, Vol. 2, No. 3, pp. 283-304.   DOI
27 Inoue, K.(1977), "On the separation of traffic at straight waterway by distribution model of ship". Japan Institute of Navigation, Vol 56, pp. 103-115.   DOI
28 Korean Register(2022), Guidelines for Maritime Autonomous Surface Ship, Korean Register, pp. 1-27.
29 Larson, O. D.(1993) Ship Collision with Bridge, IABSE, pp. 1-6.