期刊文献+

基于多智能体仿真的自动化集装箱码头合理通过能力研究 被引量:4

Evaluation of reasonable berth throughout capacity of automated container terminals based on multi-agent simulation modeling
下载PDF
导出
摘要 针对自动化集装箱码头泊位合理通过能力评估问题,基于多智能体仿真建立采用"双小车岸桥(DTQC)+自动导引车(AGV)+自动化轨道吊(ARMG)"工艺的自动化集装箱码头装卸作业模型,对顺岸布置的自动化码头通过能力与码头服务水平、泊位数量之间的关系进行研究。仿真结果表明:码头服务水平(AWTAST)与泊位通过能力呈明显负相关关系,且在一定码头服务水平下,泊位合理通过能力随顺岸式码头泊位数量的增加显著提高。基于仿真结果进行公式拟合,提出了自动化集装箱码头的泊位合理通过能力估算方法,可以为自动化集装箱码头规划与运营提供决策支持。 To estimate the reasonable berth throughout capacity of automated container terminal,this paper proposes a multi-agent based on simulation model of automated container terminal operation system to study the relationship among the throughout capacity of automated container terminal,port service level and the number of berths.The model adopts the technology of“double trolley bank bridge(DTQC)+automatic guide vehicle(AGV)+automatic rail crane(ARMG)”.The simulation results show that AWT AST has a significant negative correlation with berth throughput,and under a certain service level,berth throughput increases significantly with the increase of the number of berths along the shore.Based on the simulation results,the method of berth passing capacity estimation for automated container terminals is proposed,which can provide decision support for the planning and operation of automated container terminals.
作者 梁辰 唐国磊 于菁菁 齐越 宋向群 于旭会 LIANG Chen;TANG Guo-lei;YU Jing-jing;QI Yue;SONG Xiang-qun;YU Xu-hui(State Key Laboratory of Coastal and Offshore Engineering,Dalian University of Technology,Dalian 116024,China;Transport Planning and Research Institute,Ministry of Transport,Beijing 100028,China)
出处 《水运工程》 北大核心 2018年第10期177-182,188,共7页 Port & Waterway Engineering
基金 国家自然科学基金项目(51579035) 辽宁省自然科学基金计划重点项目(20170540150) 大连市支持高层次人才创新创业项目(2016RQ024)
关键词 自动化集装箱码头 多智能体仿真 泊位通过能力 码头服务水平 automated container terminal multi-agent simulation berth throughout capacity port service level
  • 相关文献

参考文献6

二级参考文献18

  • 1NG W C, WONG C S. Evaluating the impact of vesseltraffic interference on container terminal capacity [J]. Journal of Waterway, Port, Coastal, and Ocean Engineering, 2006, 132(2): 76-82.
  • 2KIM K H, KIM H B. The optimal determination of the space requirement and the number of transfer cranes for import containers [J]. Computers and Industrial Engineering, 1998, 35(3-4): 427-430.
  • 3ZHANG C, LIU J, WAN Y W, et al. Storage space allocation in container terminals [J]. Transportation Research. Part B, 2003, 37(10): 883-903.
  • 4MURTY K G, LIU J, WAN Y W, et al. A decision support system for operations in a container terminal [J]. Decision Support Systems, 2005, 39(3) 309-332.
  • 5PENG Chuan-sheng. Comparison on the container transportation in China and USA [J]. Comprehensive Transportation, 2006, 10:21-23 (in Chinese).
  • 6XIAO Zhong-xi. The proper speed for developing harbors [EB/OL]. (2005-01-10). http://www.bbs. global56.com (in Chinese).
  • 7IMAI A, NAGAIWA K, TAT C W. Efficient planning of berth allocation for container terminals in Asia [J]. Journal of Advanced Transportation, 1997, 31(1): 75- 94.
  • 8IMAI A, NISHIMURRA E, PAPADIMITRIOU S. The dynamic berth allocation problem for a container port [J]. Transportation Research. Part B, 2001, 85(4): 401- 417.
  • 9NISHIMURA E, IMAI A, PAPADIMITRIOU S. Berth allocation in the public berth system by genetic algorithms [J]. European Journal of Operational Research, 2001, 131(2): 282-292.
  • 10LIU C I, JULA H, IOANNOU P A. Design, simulation, and evaluation of automated container terminals [J]. IEEE Transactions on Intelligent Transportation Systems, 2002, 3(1): 12-26.

共引文献56

同被引文献29

引证文献4

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部