A Smart Real-Time Parking Control and Monitoring System

Abstract

Smart parking is an artificial intelligence-based solution to solve the challenges of inefficient utilization of parking slots, wasting time, congestion producing high CO2 emission levels, inflexible payment methods, and protecting parked vehicles from theft and vandalism. Nothing is worse than parking congestion caused by drivers looking for open spaces. This is common in large parking lots, underground garages, and multi-story car parks, where visibility is limited and signage can be confusing or difficult to read, so drivers have no idea where available parking spaces are. In this paper, a smart real-time parking management system has been introduced. The developed system can deal with the aforementioned challenges by providing dynamic allocation for parking slots while taking into consideration the overall parking situation, providing a mechanism for booking a specific parking slot by using our Artificial Intelligence (AI)-based application, and providing a mechanism to ensure that the car is parked in its correct place. For the sake of providing cost flexibility, we have provided two technical solutions with cost varying. The first solution is developed based on a motion sensor and the second solution is based on a range-finder sensor. A plate detection and recognition system has been used to detect the vehicle’s license plate by capturing the image using an IoT device. The system will recognize the extracted English alphabet and Hindu-Arabic Numerals. The proposed solution was built and field-tested to prove the applicability of the proposed smart parking solution. We have measured and analyzed keen data such as vehicle plate detection accuracy, vehicle plate recognition accuracy, transmission delay time, and processing delay time.

Constraint Optimization Model for Dynamic Parking Space Allocation

“…Each parking slot can only be assigned to one user during a shift. ∃u1 ∃u2 ∀s: user(u1) ∧ user(u2) ∧ shift(s) ∧ u1∈ s ∧ u2 ∉ s ⟹ priority(u1) > priority(u2) (4) where shift(s) denotes the current shift.…”

“…This issue arises primarily because of the limited availability of parking spaces relative to the high number of vehicles on the road [ 1 , 2 ]. By utilizing car parks, the authors of [ 3 , 4 ] proved the significance of using intelligent parking systems to find suitable parking slots. According to ref.…”

SmartLaundry: A Real-Time System for Public Laundry Allocation in Smart Cities

“…In the context of smart cities, multiple works have focused on providing solutions for better management of resources. Some examples are the resource allocation of charging stations [3], parking control [4], task scheduling in the cloud [5], or task scheduling for public laundry management [6]. Real-time applications stand as promising candidates for harnessing the computational capabilities offered by cloud computing environments, ensuring compliance with deadline constraints due to the fast-growing advancements in smart systems [7].…”

Color Face Image Generation with Improved Generative Adversarial Networks

“…The field of artificial intelligence (AI) has experienced rapid progress in recent years, driven by advancements in computing capabilities and the availability of large datasets. The progress in artificial intelligence has led to the development of versatile applications across various domains, such as image recognition [1][2][3], object detection [4][5][6], medical diagnosis [7][8][9], and Internet of Things (IoT) [10][11][12]. In many applications, the development of image recognition is relatively well-advanced.…”