Abstract:
In this research paper, we are suggested to come up with an efficient method for solving the parking problem of a big crowded city depending on the demand for number of available parking slots because we know that the transport systems in urban areas are heavily impacted by inadequate parking just as it results in fuel wastage, traffic jams and raising pollution. To overcome these challenges, this paper proposes an internet of things (IoT) based smart parking model using First-Come-First-Served (FCFS) priority scheduling mechanism to keep efficient allocation of the parking space. The status of Parking Slot is retrieved in real-time with sensor based detection units and cross-cores to a central control system
Real-time Parking Slot status is obtained using sensor-based detection units and transmitted to a central control system. Parking spaces are assigned strictly according to vehicle arrival order, eliminating conflicts and ensuring fair utilization of available resources. . The proposed approach avoids the risk of the complex reservation strategies and it can reduce computational overhead while maintaining real-time responsiveness. The system improves parking efficiency; it minimizes unnecessary vehicle movement, and enhances user convenience. The proposed model demonstrates the way of its suitability for smart city applications by providing a scalable, transparent, and cost-effective way of parking management solution which saves time and risks.
"FCFS scheduling and IoT for conflict-free parking allocations"
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