An Improved Vehicle Parking Mechanism to reduce Parking Space Searching Time using Firefly Algorithm and Feed Forward Back Propagation Method

Singh, Robert P.; Dutta, Chiranjit; Singhal, Niraj; Choudhury, Tanupriya

doi:10.1016/j.procs.2020.03.394

Cited by 14 publications

(4 citation statements)

References 12 publications

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“…Conventional methods for parking system are very costly as they use installation of sensors at every parking space. Singh et al [10] build an improved parking system so that vacant parking space searching time gets reduced. The objective of this study was to build a system for park the vehicles using metaheuristic approach such as using feed forward back propagation neural network and firefly algorithm.…”

Section: Existing Methodologymentioning

confidence: 99%

A Survey on Smart Parking Management System

Ramchandani¹,

Bansal²

2023

Data Science and Intelligent Computing Techniques

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With the large increase in population, automated industries and need of vehicles, parking of the vehicles is becoming a critical issue in various cities. Unmanaged parking of vehicles leads to noise pollution, air pollution, traffic congestion. During peak hours, it is difficult task to find vacant parking lot and it becomes the major challenge for driver to park the vehicle. A lot of work is being done in the whole world to manage the efficient parking of vehicles. To give the clear overview about efficient parking system, we go through some existing studies over the period of 2009-2022 which proposed various parking solutions. This survey gives an exhaustive study of available parking solutions and also proposed som

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Section: Existing Methodologymentioning

confidence: 99%

A Survey on Smart Parking Management System

Ramchandani¹,

Bansal²

2023

Data Science and Intelligent Computing Techniques

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“…An Enhanced vehicle parking mechanism is proposed by Singh et al 125 to minimize the parking space search time using the back propagation method and firefly algorithm. The main objective of the proposed approach is to avoid parking issues.…”

Section: Applicability Of Nature‐inspired Algorithms In Iovmentioning

confidence: 99%

A survey on nature‐inspired algorithms and its applications in the Internet of Vehicles

Sharma

Kaushik

2021

Int J Communication

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The concept of the Internet of Vehicles (IoV) was evolved to cater to the increasing demands of emerging and advanced vehicular applications such as intelligent transportation systems (ITS). IoV plays a vital role in the development of smart cities and smart transportation. As IoV involves real-time data, so efficient routing mechanisms, as well as secure protocols, are very much needed to enhance the efficiency and security of the IoV network. In the existing literature, numerous researchers have focused on enhancing the efficiency of the IoV network. However, there still exist some flaws keeping in view the new security vulnerabilities that keep on emerging. So, there is a need to optimize the capabilities of existing frameworks for dealing with such issues.Nature-inspired algorithms are a category of powerful tools to solve problems of optimization. In this first of its kind state-of-the-art study, the potential of applicability of nature-inspired algorithms in IoV networks for improving the overall performance of IoV is explored. First, various categories of natureinspired algorithms are presented to make the readers well acquainted with the concepts of nature-inspired algorithms. Different nature-inspired algorithms having their applicability in different aspects of IoV are studied with a special focus on security, routing, and parking space management for strengthening the existing IoV network. Various open issues and research challenges in the use of different nature-inspired algorithms in IoV are also presented. Based upon the study conducted, it has been analyzed that natureinspired algorithms can optimize the overall performance of IoV networks.

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“…If the parking is not standardized, the system will prompt the owner of the vehicle to park the vehicle in a standardized way through the mobile phone. Intelligent parking solutions and intelligent systems provide a way to obtain parking lot information [8] and guide car owners to park faster and better and improve parking efficiency.…”

Section: Parking Garage Information Guidance Managementmentioning

confidence: 99%

Design and Implementation of the Optimization Algorithm in the Layout of Parking Lot Guidance

Liu

Yang

et al. 2021

Wireless Communications and Mobile Computing

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The information guidance system for parking spaces in large- and medium-sized parking lots is not efficient at present. It tends to be difficult to find an empty parking space in parking lots in big cities. One of the problems is the large amount of calculation in the traditional Dijkstra algorithm. In this paper, an improved Dijkstra algorithm is presented and optimized to find the best parking path with the purpose of looking for the nearest free parking space based on the layout model in parking lot parking guidance. The experiments show that the improved Dijkstra algorithm can find the optimal parking space and the optimal parking path and improve the parking efficiency.

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An Improved Vehicle Parking Mechanism to reduce Parking Space Searching Time using Firefly Algorithm and Feed Forward Back Propagation Method

Cited by 14 publications

References 12 publications

A Survey on Smart Parking Management System

A Survey on Smart Parking Management System

A survey on nature‐inspired algorithms and its applications in the Internet of Vehicles

Design and Implementation of the Optimization Algorithm in the Layout of Parking Lot Guidance

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