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机构地区:[1]南开大学计算机与控制工程学院,天津300071
出 处:《交通运输系统工程与信息》2014年第4期99-106,共8页Journal of Transportation Systems Engineering and Information Technology
基 金:国家自然科学基金(71172071;71202161);高等学校博士学科点专项科研基金(20120031110036);教育部人文社会科学研究青年基金(11YJC630239)
摘 要:为了减少船舶在港区的废气排放及促进港口群泊位资源的优化配置,本文建立了双港泊位分配协同优化模型,通过优化两港泊位分配和船舶在两港间的航速来降低燃油消耗量和总延误时间,并探讨了限速策略的影响.采用将船舶燃油消耗函数分段线性化的方法,将模型转化为混合整数线性规划模型.仿真实验表明,相比于传统的以计划延误时间最小化为目标的单港泊位分配模型,双港协同优化模型不仅能够进一步优化两港总的延误时间,而且能够明显减少船舶燃油消耗量.这从运作层面为提高港口群整体服务水平、建设绿色港口提供了理论支持.To reduce vessel emissions and optimize berth allocation for the port group, we propose the double ports coordinated optimization(DPCO) model. By optimizing berth allocation of the ports and the vessel speed of the leg, both fuel consumption and total delay time of vessels can be reduced. The effects of speed limit strategy are discussed as well. This model is formulated as a mixed integer linear programming model by using a piecewise linear function to approximate the bunker consumption function. The results show that the coordinated plan provided by the model can optimize the departure delay objective, while significantly reducing the total fuel consumption than that by traditional single port berth allocation(SPBA) model. This paper provides theoretical support for the improvement of service level for the port group and the construction of green ports from the operational level.
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