Parking management has always been a major concern for universities and other activity centers. Nowadays, many universities are suffering from a lack of campus parking capacity. To tackle this problem, it is necessary to take parking lots assignment into consideration, regarding intercampus users’ needs. These users have different ages, physical characteristics, expectations, and administrative positions that should be considered before any parking assignment. Here, a new method is proposed to optimize parking lots management for those universities where staff (academic and administrative), in contrast to students, are allowed to park inside the campus area. For this purpose, first, the probability of using a specific parking lot by each group is determined. For staff, this is done based on their choices, revealed by the relative frequency of using parking lots. This probability for students can be calculated using a fuzzy inference system model. To develop the model, a survey is conducted to extract students’ preferences, regarding parking spaces assignment inside the campus area. Afterward, an integer linear programming model with the objective function of maximizing parking probability is employed, considering several related constraints. The proposed model is applied to Shahid Bahonar University of Kerman (SBUK), Iran, as the case study. According to the results, it can be concluded that the proposed method can help to reduce wandering time of finding an appropriate parking space for both staff and students. In addition, the proposed application can help increase the satisfaction level of staff and students with regard to parking management.

中文翻译：

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停车需求与供给：大学校园中基于优化的方法

停车管理一直是大学和其他活动中心关注的主要问题。如今，许多大学都缺乏校园停车位。为了解决这个问题，有必要考虑到校园间使用者的需求，分配停车场。这些用户具有不同的年龄，身体特征，期望和管理职位，应在分配任何泊车位之前考虑它们。在这里，提出了一种新方法来优化那些允许员工（学术和行政管理人员）与学生相比在校园区域内停放的大学的停车场管理。为此，首先，确定每个组使用特定停车场的可能性。对于员工而言，这取决于他们的选择，通过使用停车场的相对频率来揭示。可以使用模糊推理系统模型来计算学生的概率。为了开发模型，进行了一项调查以提取学生对校园区域内停车位分配的偏好。然后，考虑到几个相关的约束，采用具有最大化停车概率的目标函数的整数线性规划模型。拟议的模型被应用于伊朗克尔曼沙希德·巴哈纳尔大学（SBUK），作为案例研究。根据结果​​，可以得出结论，所提出的方法可以帮助减少为工作人员和学生找到合适的停车位的徘徊时间。此外，提出的应用程序可以帮助提高教职员工对停车管理的满意度。