Analysis of a university parking lot system through the use of discrete-event simulation

The management of parking lots in large cities has become one of the most complex problems to solve as this is influenced by many variables, additionally these spaces directly influence the level of service and productivity of many companies. This article proposes the use of the simulation of discrete events to analyze the impact of the changes in the access policies to a pair of parking lots in the Faculty of Engineering of the UNAM in Mexico City, some of the proposed indicators are: number of users not served by saturation (parking spaces not available) , maximum number of users looking for a parking space at the same time, average search time of a parking space in case of saturation and number of parking spaces occupied throughout the day.