Parking Space Allocation Model of Intelligent Parking Lot under Peak Demand

In order to increase the number of parking spaces, AGV (automated guided vehicle) intelligent parking lot sets the channel as a two-way single lane. In this paper, a general parking space allocation model is proposed to solve the problem that parking AGVs are prone to fall into deadlock in two-way single lane, and a conflict probability calculation model for AGV paths is further designed. By planning and allocating the target parking spaces of vehicles before the route planning, the potential deadlocks can be avoided reasonably. According to the conflict probability calculation model proposed above, the conflict probability of parking spaces sequence calculated by genetic algorithm is lower than serial number sequence method, from near to far method and alternate allocation method. The simulation results show that the conflict probability is positively correlated with the total transportation time of AGV intelligent parking lot. With the increase of parking AGVs number, it begins obvious that reducing conflict probability to improve the transportation efficiency of AGV intelligent parking lot. Therefore, reasonable planning and allocating the target parking spaces of vehicles can effectively improve the transportation efficiency of AGV intelligent parking lot.