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IT4010 Research Project 4th Year, 1st Semester Final Report Project ID: 24-25J-319 IT21187032 D. A. K. S. M. DORANEGODA B.Sc. (Hons) Degree in Information Technology Sri Lanka Institute of Information Technology April 2025
IT4010 Research Project 4th Year, 1st Semester Final Report Project ID: 24-25J-319 IT21187032 D. A. K. S. M. DORANEGODA B.Sc. (Hons) Degree in Information Technology Sri Lanka Institute of Information Technology April 2025
DECLARATION We declare that this is our own work, and this proposal does not incorporate without acknowledgement any material previously submitted for a degree or diploma in any other university or Institute of higher learning and to the best of our knowledge and belief it does not contain any material previously published or written by another person except where the acknowledgement is made in the text. Name Student ID Signature D. A. K. S. M. DORANEGODA IT21187032 The above candidate is carrying out research for the undergraduate Dissertation under our supervision. …………………………………….. Ms. Wishalya Tissera (Supervisor) 2
ABSTRACT Intensive urbanization has profoundly accentuated problems related to parking management in densely populated urban environments. Traffic congestion, wasteful use of parking places, unlawful or inconsiderate parking, and poor revenue realization have become urban mobility and economic efficiency issues critically in need of urgent resolution. This research project suggests developing an advanced, comprehensive parking management system based on state-of-the-art computer vision and artificial intelligence technologies. The system involves using state-of-the-art real-time image analysis to detect and track empty parking bays accurately, maximizing use of available space and reducing the idle time spent searching for parking. In addition, through constant monitoring of parking trends, the system anticipates recurring choke points and provides automatic alerts to respond to improper or unauthorized parking in real time. A new timing mechanism embedded in the system monitors parking times accurately, allowing for real-time demand-based pricing models influenced by occupancy, time of day, and peak hours. This new billing approach not only maximizes revenue but also manages to optimize drivers' behavior to reduce congestion at peak times. A user-friendly and detailed administrative portal supports the system, allowing for automatic generation of financial daily reports and useful operation reports. Through the integration of real-time data analytics, sophisticated image recognition, and dynamic pricing initiatives, this research presents an innovative approach to parking management, one which can have a demonstrably positive impact in terms of reducing urban road congestion, maximizing operational efficiency, and maximizing revenue streams. Its ultimate ambition is to further advance the creation of smarter, sustainable urban infrastructure, enabling better urban mobility and contributing in meaningful ways to smarter city environments. Keywords: Parking Management, Traffic Congestion, Intelligent Parking Systems, Computer Vision, Real-time Slot Detection, Parking Pattern Analysis, Dynamic Pricing Models, Adaptive Billing Systems, Real-time Data Analytics, Sustainable Urban Infrastructure. 3
ACKNOWLEDGEMENT First and foremost, I would like to express my sincere gratitude to my supervisor Ms. Wishalya Tissera for the constant guidance and support which always helped me with the successful completion of my undergraduate research. Besides my supervisor, my sincere thanks also go to Miss Hansi De Silva, the co-supervisor of this research project, for being willing to help whenever it was needed. 4
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