Traffic Equilibrium of Automated Container Terminal Road Network Based on Potential Game
To improve the utilization rate and traffic equilibrium of the automated container terminals road network,this paper focuses on the distributed automated guided vehicle(AGV)traffic scheduling problem and proposes a game model for the AGVs scheduling based on the factors of the congestion degree of each sub-path of the automated container terminal,the velocity of the AGV,and the selection probability of each sub-path.The balanced scheduling strategy of AGV is solved by two algorithms.The distributed route algorithm is designed to help AGV update strategies.The information update algorithm of the system is used to update road information and select the AGV for the strategy update.The numerical simulation was carried out with three actual ships.The results show that the distributed route method has better performance than the traditional route selection method.The quantity of ship tasks,the number and velocity of AGVs are the key factors that affect the efficiency of AGV transportation.When the AGV velocity is 6 m·s-1,the total revenue of the ship is the largest,which provides decision support for the terminal manager to determine the AGV scheduling strategy.
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