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An Autonomous Parking Lot Administration with a Variety of Parking Permits
Urbanization and population growth are stretching the transportation infrastructure of the cities. University campuses are feeling intense pressure of providing adequate parking spaces for operation, staff, faculty members, students, and visitors. Commuters are faced with trouble of finding a suitable parking space causing stress, wastage of energy and loss of productive time on a daily basis. On one end, drivers are forced to violate the parking rules and on the other end authorities are forced to spend numerous man-hours, considerable amount of money and other resources in monitoring parking violation. A promising solution could be an intelligent, self-monitoring parking lot which can play a vital role in Intelligent Transportation Systems (ITS) by reducing parking related problems, and problems associated with human errors. Internet of Things (IoT) and smart devices are transforming and revolutionizing every possible aspect of our lives. In this research, IoT and detection technology are combined to design an autonomous parking lot capable of monitoring variety of parking permits, providing real time information about lot occupancy, and issuing violation penalty. The designed system will use Radio-Frequency IDentification (RFID) tags as various parking permits. In-ground RFID readers along with vision system will identify a vehicle. Information infrastructure will exchange information among devices and central database to monitor and execute the functional aspects of parking lot management. A scaled prototype is developed to verify the design concept and integration of selected technology.