Optimizing Smart Parking System by Using Fog Computing

Tandon, Righa; Gupta, Praveen

doi:10.1007/978-981-13-9942-8_67

Cited by 25 publications

(9 citation statements)

References 24 publications

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“…In a typical inquiry client sets aside part of the effort to discover the accessible space. Be that as it may, in our proposed strategy we have a choice of pre booking, which spares time [21]- [25].…”

Section: Expected Resultsmentioning

confidence: 99%

Smart car parking system model for urban areas

Atiqur

2021

Comput. Sci. Inf. Technol.

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This article is on the smart car parking system. In which we going to utilize the ultrasonic sensor to distinguish the vehicle and it will assist the proprietor with finding an advantageous parking spot. Parking spots are significant in city urban areas. In view of the expansion in a huge number of vehicles, the requirement for parking spots is a need, and henceforth an earnest needs to build up a system that can deal with these parking spots. To determine these necessities we build up a system to show the empty path in the parking spots. This includes a system that incorporates an ultrasonic sensor, raspberry pi 4, wifi-module, and a led show outside the vehicle parking entryway. Parking spots are observed by the staff of the concerned power. The paper incorporates the subtleties of parts that are utilized and about the working of this system. The paper likewise shows that our system's looking through an ideal opportunity to locate a free spot is more productive than some other existing system.

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Section: Expected Resultsmentioning

confidence: 99%

Smart car parking system model for urban areas

Atiqur

2021

Comput. Sci. Inf. Technol.

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“…[30] presented a multi-layer architecture that combines edge nodes in the parking with VANET to get real-time parking availability information and handle parking requests from approaching vehicles. Tondon et al [31] proposed an online reservation system that uses bookings to reduce driving time, fuel consumption, CO2 emissions, and traffic congestion.…”

Section: Related Workmentioning

confidence: 99%

SCOPE: Smart Cooperative Parking Environment

Alarbi,

Jaradat,

Lutfiyya

et al. 2023

IEEE Access

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The shortage of parking spaces in metropolitan cities has become a significant challenge, leading to wasted time, money, traffic congestion, and environmental pollution. While smart parking solutions offer potential relief, existing systems often struggle with integration and coordination issues in the complex smart city ecosystem. In response, this paper introduces SCOPE, a cooperative distributed system architecture and interaction model that facilitates the management of parking spaces in a smart city through coordination and autonomous interactions. The system leverages an overlay network, a hierarchical and spatial structure of coordination nodes, and an integration layer to organize traffic and communication among facilities. By incorporating a sharing economy business model, SCOPE maximizes parking resource usage, merges public and private parking resources, and provides economic opportunities for private parking owners. The evaluation results demonstrate that SCOPE significantly reduces search time, traffic, cost, and air pollution while improving driver satisfaction. This novel approach presents a comprehensive solution to the challenges of smart parking management in metropolitan cities, paving the way for more efficient, sustainable, and economically viable urban environments.

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“…In [ 22 ], Tandon and Gupta proposed an online reservation tool for parking area, which aims to decrease the waiting time and parking cost for each car. Additionally, they developed an approach to evaluate the overall cost of the cars.…”

Section: Related Workmentioning

confidence: 99%

A Balanced Algorithm for In-City Parking Allocation: A Case Study of Al Madinah City

Abdeen

Nemer

Sheltami

2021

Sensors

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Parking in heavily populated areas has been considered one of the main challenges in the transportation systems for the past two decades given the limited parking resources, especially in city centres. Drivers often waste long periods of time hunting for an empty parking spot, which causes congestion and consumes energy during the process. Thus, finding an optimal parking spot depends on several factors such as street traffic congestion, trip distance/time, the availability of a parking spot, the waiting time on the lot gate, and the parking fees. Designing a parking spot allocation algorithm that takes those factors into account is crucial for an efficient and high-availability parking service. We propose a smart routing and parking algorithm to allocate an optimal parking space given the aforementioned limiting factors. This algorithm supports choosing the appropriate travel route and parking lot while considering the real-time street traffic and candidate parking lots. A multi-objective function is introduced, with varying weights of the five factors to produce the optimal parking spot with the least congested route while achieving a balanced utilization for candidate parking lots and a balanced traffic distribution. A queueing model is also developed to investigate the availability rate in candidate parking lots while considering the arrival rate, departure rate, and the lot capacity. To evaluate the performance of the proposed algorithm, simulation scenarios have been performed for different cases of high and low traffic intensity rates. We have tested the algorithm on in-city parking facility in the city of Al Madinah as a case study. The results show that the proposed algorithm is effective in achieving a balanced utilization of the parking lots, reducing traffic congestion rates on all routes to candidate parking lots, and minimizing the driving time to the assigned parking spot. Additionally, the proposed algorithm outperforms the MADM algorithm in terms of the selected three metrics for the five periods.

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Optimizing Smart Parking System by Using Fog Computing

Cited by 25 publications

References 24 publications

Smart car parking system model for urban areas

Smart car parking system model for urban areas

SCOPE: Smart Cooperative Parking Environment

A Balanced Algorithm for In-City Parking Allocation: A Case Study of Al Madinah City

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