Event Title

Automated Detection of Various Parking Permit and Violation

Location

Hager-Lubbers Exhibition Hall

Start Date

10-4-2018 3:30 PM

Description

Advancement in Internet of Things (IoT) progressing the idea of Smart City at a faster pace. Traffic congestion and parking system monitoring is a tremendous challenge for any IoT subsystem. Large university parking lot poses additional challenge of monitoring various types of permits and variety of time restricted parking slots. Manual monitoring of parking violations costs considerable manpower and other university resources. This research aimed at developing autonomous parking lot management system for a typical university parking lot. The first phase of the research, looked into reliable and robust parking permit detection system. First, the key system requirements were determined via survey and interview with stakeholders. Then following the conventional design methodology, a fitting solution was searched for. In-ground Radio Frequency Identification (RFID) was selected to be the technology that fulfills the design requirements. A prototype is developed to validate the design concept. It was found that in-ground RFID reader can successfully interrogate a RFID tag in a parked car. This data can be then be queried into a central database via an IoT infrastructure to determine the type of the parking permit and the type of the parking violation, if any. This key advancement will allow further development of completely autonomous parking lot management system.

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Apr 10th, 3:30 PM

Automated Detection of Various Parking Permit and Violation

Hager-Lubbers Exhibition Hall

Advancement in Internet of Things (IoT) progressing the idea of Smart City at a faster pace. Traffic congestion and parking system monitoring is a tremendous challenge for any IoT subsystem. Large university parking lot poses additional challenge of monitoring various types of permits and variety of time restricted parking slots. Manual monitoring of parking violations costs considerable manpower and other university resources. This research aimed at developing autonomous parking lot management system for a typical university parking lot. The first phase of the research, looked into reliable and robust parking permit detection system. First, the key system requirements were determined via survey and interview with stakeholders. Then following the conventional design methodology, a fitting solution was searched for. In-ground Radio Frequency Identification (RFID) was selected to be the technology that fulfills the design requirements. A prototype is developed to validate the design concept. It was found that in-ground RFID reader can successfully interrogate a RFID tag in a parked car. This data can be then be queried into a central database via an IoT infrastructure to determine the type of the parking permit and the type of the parking violation, if any. This key advancement will allow further development of completely autonomous parking lot management system.