Abstract
Environmental protection and energy saving pressure press the increasing attention of container terminal operators. In order to comply with the more and more strict environmental regulation, reducing energy consumption and air pollution emissions, meanwhile, optimizing the operation efficiency, which, is an urgent problem to container terminal operator of China. This paper based on the characteristic of Container Terminal Operation System (CTOS), which includes several sections of container product processes, consist of berth allocation problem, truck dispatching problem, yard allocation problem and auxiliary process. Dynamic energy consumption and emissions characteristic of each equipment and process is modelled, this paper presents the architecture of CTOS based on the multi agent system with early-warning model, which is based on multi-class support vector machines (SVM). A simulation on container terminal is built on the JADE platform to support the decision-making of container terminal, which can reduce energy consumption and air pollution emissions, allows the container terminal operator to be more flexible in their decision to meet the Emission Control Area regulation and Green Port Plan of China.
Highlights
In the last more than a decade years, with China's domestic and foreign trade continues to expand, container transport is increasingly valued, environmental protection and energy saving pressure press the increasing attention of government and container terminal operators
Dynamic energy consumption and emissions characteristic of each equipment and process is modelled, this paper presents the architecture of Container Terminal Operation System (CTOS) based on the multi agent system with early-warning model, which is based on multi-class support vector machines (SVM)
A simulation on container terminal is built on the Java Agent Development framework (JADE) platform to support the decision-making of container terminal, which can reduce energy consumption and air pollution emissions, allows the container terminal operator to be more flexible in their decision to meet the Emission Control Area regulation and Green Port Plan of China
Summary
In the last more than a decade years, with China's domestic and foreign trade continues to expand, container transport is increasingly valued, environmental protection and energy saving pressure press the increasing attention of government and container terminal operators. China has started the Green Port Plan from 2011, which is total life cycle and closed-loop in operation of port, includes several evaluation indicators, to evaluate operation management level of environment and energy efficiency of port. In order to improve energy efficiency and reduce emission, and get dynamic information in advance, this paper based on the characteristic of Container Terminal Operation System (CTOS), which includes several sections of container product processes, and consist of berth allocation problem, truck dispatching problem, yard allocation problem and auxiliary process. A simulation on container terminal is built on the JADE platform to support the decision-making of container terminal, which can reduce energy consumption and air pollution emissions, and allows the container terminal operator to be more flexible in their decision to meet the environmental protection regulation and green port plan of China
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