Abstract
Route optimization for autonomous container truck is one of the key problems to realize the automatic container port. An environment model for container truck is built by grid method. Considering the complex and unknown construction environment of the container port, an improved ant colony optimization (IACO) algorithm based on rolling window is proposed to achieve path planning for container truck. In the simulations, it is obvious that the IACO will not only achieve a safe collision avoidance path, the length of which is shorter than the truck's traditional route no matter how complex the environment is, but also show good analytical and disposing ability of dead ends in the path planning process. Compared with conventional ant colony optimization (ACO), the running time of IACO is shorter. The results of the simulation experiments demonstrate that the IACO is a good method which is applicable to route optimization for autonomous container truck.
Highlights
Container transportation is the most important logistics process of the container terminal
Considering the complex and unknown construc‐ tion environment of the container port, an improved ant colony optimization (IACO) algorithm based on rolling window is proposed to achieve path planning for container truck
The main purpose of this paper is to break through the shackles of the fixed route for container truck in the traditional operation process and to achieve the route optimization for autonomous container truck in unknown environment by the improved ant colony optimization (IACO) algorithm based on rolling window
Summary
Container transportation is the most important logistics process of the container terminal. The container terminal is mainly composed of berth, container crane, container truck, gantry crane, and container yard. The container truck plays an important role in the whole process of container horizontal transportation. It is the connection between the container crane and the gantry crane. It is a large-scale port equipment for container loading, unloading, and transportation. With the improvement of container ship loading capacity and the requirement of ship’s port time minimization, it is important to improve the efficiency of the container port loading and unloading
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