research-article

An Investigation of Smart Parking Tools, Technologies, & Challenges

Authors:

Muahmmad Waseem Anwar,

Haider Ali JavaidAuthors Info & Claims

ICSIE '20: Proceedings of the 9th International Conference on Software and Information Engineering

Pages 198 - 203

https://doi.org/10.1145/3436829.3436851

Published: 05 January 2021 Publication History

Abstract

Urbanization, exceptional increase in population and advancement in technology caused the automotive industry to grow rapidly & automobiles become essential part of daily life. Consequently, finding a parking space particularly in populous zones, is a challenging task. Researchers have proposed different solutions to assist the developments in smart parking systems. In this paper, we have investigated the key tools, techniques & challenges proposed in the recent research studies. Primarily, a Systematic Literature Review is carried out, total 35 studies are explored during time interval of (2015-2019). Subsequently, five major areas are recognized where smart parking is often functional i.e. Internet of Things (IoT) (13 studies), Cloud Computing (2 studies), Model-Driven Engineering (4 studies), Fog Computing (6 studies) and Artificial Intelligence (11 studies). Furthermore, (15) primary tools and (25) algorithms are presented. This article also portray the challenges cited by different studies. The findings of this study will definitely assist the practitioners while deciding the appropriate selections.

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Cited By

Aditya AAnwarul STanwar RKoneru S(2023)An IoT assisted Intelligent Parking System (IPS) for Smart CitiesProcedia Computer Science10.1016/j.procs.2023.01.084218:C(1045-1054)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1016/j.procs.2023.01.084
Sabireen HVenkataraman N(2023)A Hybrid and Light Weight Metaheuristic Approach with Clustering for Multi-Objective Resource Scheduling and Application Placement in Fog EnvironmentExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.119895223:COnline publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1016/j.eswa.2023.119895

Index Terms

An Investigation of Smart Parking Tools, Technologies, & Challenges
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Sensor networks
2. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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cover image ACM Other conferences

ICSIE '20: Proceedings of the 9th International Conference on Software and Information Engineering

November 2020

251 pages

ISBN:9781450377218

DOI:10.1145/3436829

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Ain Shams University: Ain Shams University, Egypt

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Association for Computing Machinery

New York, NY, United States

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Published: 05 January 2021

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ICSIE 2020: 2020 9th International Conference on Software and Information Engineering

November 11 - 13, 2020

Cairo, Egypt

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Cited By

Aditya AAnwarul STanwar RKoneru S(2023)An IoT assisted Intelligent Parking System (IPS) for Smart CitiesProcedia Computer Science10.1016/j.procs.2023.01.084218:C(1045-1054)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1016/j.procs.2023.01.084
Sabireen HVenkataraman N(2023)A Hybrid and Light Weight Metaheuristic Approach with Clustering for Multi-Objective Resource Scheduling and Application Placement in Fog EnvironmentExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.119895223:COnline publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1016/j.eswa.2023.119895

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