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Qualitative and Quantitative Analysis of Congested Marine Traffic Environment – An Application Using Marine Traffic Simulation System

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Języki publikacji
EN
Abstrakty
EN
Difficulty of sailing is quite subjective matter. It depends on various factors. Using Marine Traffic Simulation System (MTSS) developed by Osaka University this challenging subject is discussed. In this system realistic traffic flow including collision avoidance manoeuvres can be reproduced in a given area. Simulation is done for southward of Tokyo Bay, Strait of Singapore and off‐Shanghai area changing traffic volume from 5 or 50 to 150 or 200% of the present volume. As a result, strong proportional relation between near‐miss ratio and traffic density per hour per sailed area is found, independent on traffic volume, area size and configuration. The quantitative evaluation index of the difficulty of sailing, here called risk rate of the area is defined using thus defined traffic density and near‐miss ratio.
Twórcy
autor
  • Osaka University, Osaka, Japan
autor
  • Osaka University, Osaka, Japan
Bibliografia
  • [1] Fukuto, J. et al. 2011. Introduction of an Automatic Collision Avoidance Function to a Ship Handling Simulator (in Japanese). Japan Institute of Navigation (JIN) (125): 63-71
  • [2] Fukuto, J. et al. 2012. Ship Handling Simulator for Assessing On‐board Advanced Navigation Support Systems and Services ‐‐‐ Introduction of Intelligent Ship Handling Simulator ‐MARSIM 2012
  • [3] Hasegawa, K. 1987. Automatic Collision Avoidance System for Ship Using Fuzzy Control. Eighth Ship Control Systems Symposium (SCSS) (2): 34‐58.
  • [4] Hasegawa, K. 1989. Modelling of the Behaviours and Decision‐Making of Ship Navigators. 3rd International Fuzzy Systems Association (IFSA) Congress: 663‐666
  • [5] Hasegawa, K. et al. 1989. Ship Auto‐navigation Fuzzy Expert System (SAFES) (in Japanese). Society of Naval Architects, Japan (SNAJ) (166): 445‐452
  • [6] Hasegawa, K. 1990. Automatic Navigator‐Included Simulation for Narrow and Congested Waterways Ninth SCSS (2): 110‐134
  • [7] Hasegawa, K. 1990. An Intelligent Marine Traffic Evaluation System for Harbour and Waterway Designs. 4th International Symposium on Marine Engineering Kobeʹ90 (ISME KOBE ʹ90): (G‐1‐)7‐14
  • [8] Hasegawa, K. 1993. Knowledge‐based Automatic Navigation System for Harbour Manoeuvring. 4 Tenth SCSS (2): 67‐90
  • [9] Hasegawa, K. et al. 1997. Reconfiguration of Ship Autonavigation Fuzzy Expert System (SAFES) (in Japanese). The Kansai Society of Naval Architects of Japan (KSNAJ) (8): 191‐196
  • [10] Hasegawa, K. et al. 2000. Feasibility Study on Intelligent Marine Traffic System. 5th IFAC Conference on Manoeuvring and Control of Marine Craft (MCMC 2000): 327‐332
  • [11] Hasegawa, K. et al. 2001. Intelligent Marine Traffic Simulator for Congested Waterways. 7th IEEE International Conference on Methods and Models in Automation and Robotics: 632‐636
  • [12] Hasegawa, K. et al. 2004a. Maritime Traffic Simulation in Congested Waterways and Its Applications. The 4th Conference for New Ship and Marine Technology (New‐STech 2004): 195‐199
  • [13] Hasegawa, K. et al. 2004b. Simulation‐based Master Plan Design and Its Safety Assessment for Congested Waterways Management. International Maritime Conference on Design for Safety: 265‐270
  • [14] Hasegawa, K. et al. 2008. Transmission Evaluation of Shipborne Automatic Identification System (AIS) in Congested Waterways. The 8th International Conference on ITST: 18‐23
  • [15] Hasegawa, K. et al. 2010.Marine Traffic Simulation of the Strait of Malacca and Singapore (in Japanese). JIN (122): 91‐96
  • [16] Hasegawa, K. et al. 2010.The effect of the collision avoidance algorithm in the marine traffic simulation (in Japanese). JIN (122): 8
  • [17] Hasegawa, K. et al. 2011. Safety Assessment of Marine Traffic by Intelligent Marine Traffic Simulation. JIN (125): 33‐41
  • [18] Hasegawa, K. et al. 2012a, An Intelligent Ship Handling Simulator with Automatic Collision Avoidance Function of Target Ships, International Navigation Simulator Lecturers Conference (INSL17), F23‐1‐10
  • [19] Hasegawa, K. 2012b, Some Recent Researches on Next Generation Marine Traffic Models and Its Applications, The International Workshop on Next Generation of Nautical Traffic Model (IWNTW 2012), 25‐31.
  • [20] Inoue, K. 1994. Modelling of Marinersʹ Senses on Minimum Passing Distance between Ships in Harbour. JIN (125): 63‐71
  • [21] Nagasawa, A. 1984. Marine Traffic Simulation Including Collision Avoidance. JIN (80): 28‐34 [22] Nomoto, K. et al. 1957. On the Steering Qualities of Ships (2) (in Japanese), J. of society of Naval Architects of Japan, 101.
  • [23] Nomoto, K. 1960. Analysis of Kempf’s Standard Manoeuvre Test and Proposed Steering Quality Indices, First Symposium on ShipManoeuvrability,DTRC Report 1461
  • [24] Okuyama, Y. 1984. Network Simulation. JIN (80): 20‐27
  • [25] Sugisaki, M. 1984. On the Marine Traffic Simulation with a Microscopic Model. JIN (80): 14‐19
Typ dokumentu
Bibliografia
Identyfikator YADDA
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