关键词: 交通工程, 顾客到达拟合, 立体车库, 待命位策略, 拓扑法, Dijkstra算法

Abstract: In order to improve the service efficiency of the three-dimensional garage, the customer's arrival process of the parking and the length of stay in the garage were fitted according to the actual engineering data. The fitting results were combined with the exit strategy of the first arrival of the parking, which was used as the judgment basis for predicting the possible parking location of the next task of the parking or Pick-Up. The model of garage handling equipment scheduling and operation environment was established. Dijkstra algorithm was used to determine the shortest path node set of handling equipment to each possible outlet location node. The outlet dwell point was designed by determining the bifurcating node of the collection. The simulation results show that, compared with the in-situ dwell point strategy, the next dwell point design based on the prediction of the fitting result reduces the average customer waiting time and the average service time, and increases the average energy consumption and the average utilization rate of transporters, which conforms to the dwell point design principle and significantly improves the service efficiency of the stereo-garage. Compared with the retrieval dwell point design which minimizes the shortest path to each possible retrieval vehicle location, the design of this article is better, the average waiting time of customers, the average service time of transporter, the average energy consumption and, the average utilization rate is reduced by 9.2%, 19.2%, 25.6%, and 13.5%, respectively. The level of customer arrival rate is different, and the applicability of the standby strategy is different. The dwell point policy designed in this paper is more suitable for the lower customer arrival rate.

Key words: traffic engineering, customer arrival fit, stereo garage, dwell point policy, topological method, Dijkstra algorithm