Optimal Questions In Two Automated Parking Systems

With the development of the automotive industry and the continuous decreasing of the urban open space. Parking problem is becoming more and more serious, the phenomenon of urban traffic jam caused by disorderly parking is very common; in this paper, and we study the optimization problem of the automated compact parking system to solve the problem of parking difficulty. According to the mathematical description of the problem and the basic principles of the automated warehouse system, we draw a simplified model of two parking systems under our study, and it is standardized model with the excepted travel time. We obtained the optimization solutions of the excepted travel time of the car parking system, according to the standardized model, using the concept of the excepted travel time of an automated three-dimensional storage system.This article firstly studies the rectangular parking system. According to the mathematical description of problem, based on the principles of the automated warehouse systems, under the randomized storage assignment rule, the expected travel-time function is obtained of the intelligent rectangular parking system; It validates and optimizes the mathematical models of the system by increasing the number of the enter point or exit point to reduce the expected travel-time and finally gets the optimal solution of the model. In the two I/O points system, and an I/O point was located in the lower left corner, and another at the midpoint of the vertical axis position (see Figure 3.1 specifically); the transmitting device S/R of the system is capable of simultaneously moving along the vertical and horizontal direction.We use the method of analytic to develop the travel time models of the compact automated car parking system in which the storage and retrieval orders are performed by a tower crane. The crane is located in the center of the ground level of the parking system and it can rotate in both clockwise and counterclockwise directions. Furthermore, the crane can do three kinds of movement simultaneously which are two kinds of horizontal movement (along the diameter and along the circumference directions) and one kind of vertical movement (ascending or descending). Using the characteristic of the device, we derive travel time models for single command cycle under the randomized storage assignment rule. Then we optimize the system dimensions by minimizing the retrieval time which can be used to evaluate the performance of the system. Even though the procedure of finding the optimal configuration of the system is relatively complex, the results are straight forward to apply in practice to facilitate system redesign or utilization.