In this paper, in order to cut the emissions of the vessels and optimize the resource allocation of the container terminals, we built a berth-quay joint scheduling model under the distributed decision-making environment which treated the vessels and terminals as mutually independent decision-making bodies and optimized the navigating speed and arrival time of the former and the berth and quay resources allocation of the latter. Then using multi-round combinatorial auctioning, we regarded the service hour of the berths as a unique commodity and the vessel owner and terminal operator would negotiate until an agreement was reached concerning the allocation of the berths, which as compared with the decision-making process centered around the terminal operator, is more easily acceptable to the vessel owner. Next by a numerical test, it was shown that compared with the traditional fixed arrival time strategy, the distributed decision-making model could effectively reduce the fuel consumption and waiting time of the vessels in the quay as well as their emissions.%为减少船舶废气排放和优化集装箱码头资源配置,建立了分布式决策环境下的泊位和岸桥联合调度模型,将船舶和码头看作相互独立的决策主体,船舶优化航速及抵港时刻,码头则优化自身泊位及岸桥分配.采用多回合组合拍卖方法,将泊位服务时段看作特殊商品,港航双方就泊位分配反复协商达成一致,相比于以码头作为集中决策者的集中式决策方案更易于被船舶方接受.数值实验表明,分布式决策模型求得的分配方案相比于传统固定抵港时间策略能够有效减少船舶燃油消耗及在港等待时间,降低船舶废气排放.
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