Powiadomienia systemowe
- Sesja wygasła!
- Sesja wygasła!
- Sesja wygasła!
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Collision risk measurement is an essential topic for ship collision prevention. Many risk measures, i.e. DCPA/TCPA, etc., decouple the ship traffic into several pairs of ships and then evaluate the risk in each pair. This kind of measurement loses some information of the entire traffic and might include some biases in risk measurement, especially in multiple-ship scenarios. In this article, Imminent Collision Risk Assessment (ICRA) is extended, which formulates collision risk as a ratio of reachable maneuvers leading to a collision and all reachable maneuvers (velocities). Two groups of scenarios have been simulated to show the ICRA is suitable for assessing the collision risk in multiple-ship scenarios. Moreover, two improvements have been introduced: (1) a generalized velocity obstacle algorithm is introduced to collect the maneuvers leading to collisions, which considers ship dynamics; (2) the constraints of forces are considered in the formulation of reachable maneuvers. As a result, the proposed measurement helps one ship assess the risk of approaching obstacles which are difficult to avoid the collision in terms of own-ship’s dynamics and kinetic constraints.
Rocznik
Tom
Strony
737--744
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
autor
- Delft University of Technology, Delft, Netherlands
- Delft University of Technology, Delft, Netherlands
Bibliografia
- 1. Bareiss, D., & van den Berg, J. (2015). Generalized reciprocal collision avoidance. International Journal of Robotics Research, 34(12), 1501‐1514. Retrieved from <Go to ISI>://WOS:000361973900004. doi:10.1177/0278364915576234
- 2. Chen, L. Y., Hopman, H., & Negenborn, R. R. (2018). Distributed model predictive control for vessel train formations of cooperative multi‐vessel systems. Transportation Research Part C‐Emerging Technologies, 92, 101‐118. Retrieved from <Go to ISI>://WOS:000438480900007. doi:10.1016/j.trc.2018.04.013
- 3. Chen, P., Huang, Y., Mou, J., & van Gelder, P. H. A. J. M. (2018). Ship collision candidate detection method: A velocity obstacle approach. Ocean Engineering, 170, 186198. doi:10.1016/j.oceaneng.2018.10.023
- 4. Degre, T., & Lefevre, X. (1981). A Collision Avoidance System. Journal of Navigation, 34(2), 294‐302. Retrieved from <Go to ISI>://WOS:A1981LP36500013. doi:Doi 10.1017/S0373463300021408
- 5. Fiorini, P., & Shiller, Z. (1998). Motion planning in dynamic environments using velocity obstacles. International Journal of Robotics Research, 17(7), 760‐772. Retrieved from <Go to ISI>://WOS:000074575200006. doi:Doi 10.1177/027836499801700706
- 6. Fossen, T. I. (2002). Marine Control Systems: Guidance, Navigation, and Control of Ships, Rigs and Underwater Vehicles. Trondheim, Norway: Marine Cybernetics.
- 7. Goerlandt, F., Montewka, J., Kuzmin, V., & Kujala, P. (2015). A risk‐informed ship collision alert system: Framework and application. Safety Science, 77, 182‐204. Retrieved from <Go to ISI>://WOS:000355709400020. doi:10.1016/j.ssci.2015.03.015
- 8. Huang, Y., Gelder, P. H. A. J. M. v., & Mendel, M. B. (2016). Imminent ships collision risk assessment based on velocity obstacle. Paper presented at the ESREL 2016: Risk, Reliability and Safety: Innovating Theory and Practice, Glasgow (UK).
- 9. Huang, Y., & van Gelder, P. (2019). Time‐Varying Risk Measurement for Ship Collision Prevention. Risk Anal. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/30845355. doi:10.1111/risa.13293
- 10. Huang, Y. M., Chen, L. Y., & van Gelder, P. H. A. J. M. (2019). Generalized velocity obstacle algorithm for preventing ship collisions at sea. Ocean Engineering, 173, 142‐156. Retrieved from <Go to ISI>://WOS:000460709700012. doi:10.1016/j.oceaneng.2018.12.053
- 11. Huang, Y. M., van Gelder, P. H. A. J. M., & Wen, Y. Q. (2018). Velocity obstacle algorithms for collision prevention at sea. Ocean Engineering, 151, 308‐321. Retrieved from <Go to ISI>://WOS:000426409000028. doi:10.1016/j.oceaneng.2018.01.001
- 12. Johansen, T. A., Perez, T., & Cristofaro, A. (2016). Ship Collision Avoidance and COLREGS Compliance Using Simulation‐Based Control Behavior Selection With Predictive Hazard Assessment. Ieee Transactions on Intelligent Transportation Systems, 17(12), 3407‐3422. Retrieved from <Go to ISI>://WOS:000389344200007. doi:10.1109/Tits.2016.2551780
- 13. Lenart, A. S. (1983). Collision Threat Parameters for a New Radar Display and Plot Technique. Journal of Navigation, 36(3), 404‐410. Retrieved from <Go to ISI>://WOS:A1983RG25400007. doi:Doi 10.1017/S0373463300039758
- 14. Moreira, L., Fossen, T. I., & Guedes Soares, C. (2007). Path following control system for a tanker ship model. Ocean Engineering, 34(14‐15), 2074‐2085. doi:10.1016/j.oceaneng.2007.02.005 Convention on the International Regulations for Preventing Collisions at Sea, 1972 (COLREGs), (1972).
- 15. Pedersen, E., Inoue, K., & Tsugane, M. (2003). Simulator studies on a collision avoidance display that facilitates efficient and precise assessment of evasive manoeuvres in congested waterways. Journal of Navigation, 56(3), 411427. Retrieved from <Go to ISI>://WOS:000186787200006. doi:10.1017/S0373463303002388
- 16. Skjetne, R., Smogeli, Ø., & Fossen, T. I. (2004). Modeling, Identification, And Adaptive Maneuvering Of Cybership II: A Complete Design With Experiments. IFAC Proceedings Volumes, 37(10), 203‐208.
- 17. Szlapczynski, R., & Krata, P. (2018). Determining and visualizing safe motion parameters of a ship navigating in severe weather conditions. Ocean Engineering, 158, 263‐274. Retrieved from <Go to ISI>://WOS:000433650200021. doi:10.1016/j.oceaneng.2018.03.092
- 18. Westrenen, F. v., & Ellerbroek, J. (2017). The Effect of Traffic Complexity on the Development of Near Misses on the North Sea. IEEE Transactions on Systems, Man, and Cybernetics: Systems, PP(99), 1‐9. doi:10.1109/TSMC.2015.250360
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4d2fa08b-03cc-47ec-85d9-55172b3e77cd