In this paper, a passivity-based control scheme is proposed for the two main translational axes of an overhead crane to provide an active damping of crane load oscillations. The decentralised control structure consists of independent axis controllers, which are adapted to the varying rope length using gain-scheduling techniques. The tracking capabilities concerning desired trajectories for the ...

Agent-based models are increasingly being used to simulate and analyze various transportation problems, from traffic flow [15] to air traffic control [1]. One transportation industry that has not received as much attention from the multi-agent systems community is seaport container terminals. It can be argued that the operations that take place at a container terminal are as complex as that of ...

We present a dynamical modeling of integrated (end-to-end) container terminal operations using finite state machine (FSM) framework where each is represented by discrete-event system (DES) formulation. The hybrid model incorporates the quay cranes (QC), internal trucks (IT), and yard (YC) also selection storage positions in (CY) vessel bays. QC YC are connected IT our models. As opposed to comm...

In this paper an hybrid model for scheduling crane movements is presented. Cranes sharing the same track are considered. Cranes can reach any location along the track performing loading or unloading operations. As cranes share the same track their movements are constrained to avoid over crossing; tasks deadlines and priorities are also considered. Scheduler output are the assignment of the task...

In this work, we focus on the integrated planning of the following problems faced within the context of seaside operations at container terminals: berth allocation, quay crane assignment, and quay crane scheduling. First, we formulate a new binary integer linear program for the integrated solution of the berth allocation and quay crane assignment problems called BACAP. Then we extend it by inco...

This paper investigates cumulative scheduling in uncertain environments, using constraint programming. We present a new declarative characterization of robustness, which preserves solution quality. We highlight the significance of our framework on a crane assignment problem with business constraints.

Management of container terminal operations is essentially the allocation and scheduling of the expensive resources such as berths, quay cranes, storage space, yard cranes, and container carriers. Each of these resources plays an indispensable role in the interlocking processes in a container terminal. In this survey we give a critical review and a comparative study on various decision problems...

In this paper we integrate two decision problems arising in container terminals: the berth allocation problem, which consists of assigning and scheduling incoming ships to berthing positions, and the quay crane assignment problem, which assigns to incoming ships a certain QC profile (i.e. number of quay cranes per working shift). They are indeed strictly correlated, as the QC profile assigned t...

In this paper, a Q-Learning method for trasfer scheduling of freight cars in a train is proposed. In the proposed method, the number of freight-movements in order to line freights in the desired order is reflected by evaluation value for each pair of freight-layout and removal-destination at a freight yard. The best transfer scheduling can be derived by selecting the removal-action of freight t...