journal article·2021Open access

A Novel Green IoT-Based Pay-As-You-Go Smart Parking System

Andrea Sant, Lalit Garg, Peter Xuereb, Chinmay Chakraborty

Computers, Materials & Continua· Volume 67· Issue 3

Abstract

The better management of resources and the potential improvement in traffic congestion via reducing the orbiting time for parking spaces is crucial in a smart city, particularly those with an uneven correlation between the increase in vehicles and infrastructure. This paper proposes and analyses a novel green IoT-based Pay-As-You-Go (PAYG) smart parking system by utilizing unused garage parking spaces. The article also presents an intelligent system that offers the most favorable prices to its users by matching private garages’ pricing portfolio with a garage’s current demand. Malta, the world’s fourth-most densely populated country, is considered as a case of a smart city for the implementation of the proposed approach. The results obtained confirm that apart from having a high potential system in such countries, the pricing generated correctly forecasts the demand for a particular garage at a specific time of the day and year. The proposed PAYG smart parking system can effectively contribute to the macro solution to traffic congestion by encouraging potential users to use the system’s services and reducing the orbiting time for parking.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Smart Parking Systems Research · Transportation and Mobility Innovations · Power Line Communications and Noise

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (61)

Show source-provided references
1. Investigating different parking systems and issues
2. A navigation and reservation based smart parking platform using genetic optimization for smart cities
3. Smart city: IOT based prototype for parking monitoring and management system commanded by mobile app10.15439/2017R23 ↗
4. Parking easier by using context information of a smart city: Enabling fast search and management of parking resources
5. Cruising for parking10.1016/j.tranpol.2006.05.005 ↗
6. IOT based smart parking system for metropolitan cities
7. A review on smart IOT based parking system
8. Optimization of road safety assessment algorithm for automatic driving vehicle
9. The effects of smart-parking on transit and traffic: Evidence from SFpark10.1016/j.jeem.2019.102273 ↗
10. Towards secure smart parking system using blockchain technology
11. Parking policy: The socio-legal architecture of parking bays in American cities10.1016/j.landusepol.2019.03.044 ↗
12. Urban parking policy in Europe: A conceptualization of past and possible future trends
13. Quality of service-based service selection in smart parking10.1504/IJIDS.2020.106722 ↗
14. An ontology for an IoT-enabled smart parking in a university campus
15. Survey of reservation techniques in smart parking
16. Smart parking system: Survey on sensors, technologies and applications
17. Smart parking sensors: State of the art and performance evaluation10.1016/j.jclepro.2020.121181 ↗
18. An efficient smart parking pricing system for smart city environment: A machine-learning based approach10.1016/j.future.2020.01.031 ↗
19. Bhattacharya · Big Data-Enabled Internet of Things, IET · 2019 · 35310.1049/PBPC025E_ch16 ↗
20. Blockchain based automated formal model for safety and security in smart parking system
21. Buldakov · Open Source Systems (OSS 2020), IFIP Advances in Information and Communication Technology · 2020 · 582 · 5510.1007/978-3-030-47240-5_6 ↗
22. Towards secure smart parking system using blockchain technology
23. SpotHero, “SpotHero$ \mid $∣on-demand parking marketplace,” 2016. [Online]. Available: https://spothero.com/.
24. Paybyphone.com, “PayByPhone,” 2016. [Online]. Available: https://www.paybyphone.com/how-it-works.
25. Parking tickets for privacy-preserving pay-by-phone parking
26. Parkopedia, “Parkopedia-helping you park!,” 2020. [Online]. Available: http://www.parkopedia.co.uk/.
27. Iparqcom, “iParq-intelligent parking,” 2020. [Online]. Available: http://www.iparq.com/.
28. Getting the prices right: An evaluation of pricing parking by demand in San Francisco10.1080/01944363.2013.787307 ↗
29. Us.parkmobile.com, “Parkmobile | parking made simple,” 2020. [Online]. Available: http://us.park-mobile.com/.
30. Farooqi · 2019 Sixth HCT Information Technology Trends · 2019 · 21410.1109/ITT48889.2019.9075113 ↗
31. Streetline, inc., “Parker (version 5.0.5.5) [mobile application software],” 2019. [Online]. Available: https://www.theparkerapp.com/.
32. ParkWhiz and BestParking, “BestParking (version 7.5.4) [mobile application software],” 2020. [Online]. Available: https://www.bestparking.com/.
33. Imperva, “ParkingPanda (version 4.4.0) [mobile application software],” 2020. [Online]. Available: https://www.parkingpanda.com/.
34. MAWGIF, “mawgif (version 1.5.1) [mobile application software],” 2020. [Online]. Available: https://www.mawgif.com/.
35. Municipality & Planning Department–Ajman, “Mawqifi (version 2.6) [mobile application software],” 2020. [Online]. Available: https://play.google.com/store/apps/details?id=ae.gov.am.mawqifi.smartapp.
36. L. Benari, “ParkMe: A parking request app in Swift,” M.S. Thesis, Northridge, CA, USA, California State University, 2017. [Online]. Available: http://scholarworks.csun.edu/bitstream/handle/10211.3/195231/Benari-Leor-thesis-2017.pdf?sequence=1.
37. Parkme: IoT based parking availability prediction in neural network
38. JustPark, “JustPark,” 2020. [Online]. Available: https://www.justpark.com/.
39. An informative parking perspective: Justpark
40. Sloman · Economics · 2012
41. New smart parking system based on resource allocation and reservations10.1109/TITS.2013.2252428 ↗
42. Determining the parking fee using the contingent valuation methodology10.1061/(ASCE)0733-9488(2009)135:3(116) ↗
43. Cva.gov.mt, “CVA-controlled vehicular access,” 2016. [Online]. Available: http://www.cva.gov.mt/.
44. National Statistics Office, “Malta. Lifestyle survey,” 2009. [Online]. Available: https://nso.gov.mt/en/publicatons/Publications_by_Unit/Documents/01_Methodology_and_Research/LifeStyle_Survey_2007.pdf.
45. National Statistics Office, “Household budgetary survey 2008,” 2010. [Online]. Available: https://nso.gov.mt/en/publicatons/Publications_by_Unit/Documents/01_Methodology_and_Research/HBS2008.pdf.
46. Google Developers, “Google maps JavaScript API v3 reference,” 2020. [Online]. Available: https://developers.google.com/maps/documentation/javascript/3.exp/reference.
47. Google Developers, “Distance matrix service,” 2020. [Online]. Available: https://developers.google.com/maps/documentation/javascript/distancematrix.
48. Google Developers, “Geometry library,” 2020. [Online]. Available: https://developers.google.com/maps/documentation/javascript/geometry.
49. Transport Malta, “List of arterial & distributor roads,” 2020. [Online]. Available: http://www.transport.gov.mt/admin/uploads/media-library/files/A%20%20D%20List%20042016.pdf.
50. Google Developers, “Directions service,” 2020. [Online]. Available: https://developers.google.com/maps/documentation/javascript/directions#Directions.
51. Responsive catalog template
52. Mobile metadata assisted community database of chronic wound10.1016/j.wndm.2014.09.002 ↗
53. GTmetrix, “How fast does your website load? find out with GTmetrix,” 2020. [Online]. Available: https://gtmetrix.com/.
54. Green communication in IoT networks using a hybrid optimization algorithm10.1016/j.comcom.2020.05.020 ↗
55. Predictive model for battery life in IoT networks10.1049/iet-its.2020.0009 ↗
56. S. R. K. Somayaji, M. Alazab, MK. M., A. Bucchiarone, C. L. Chowdhary et al., “A framework for prediction and storage of battery life in IoT devices using DNN and blockchain,” 2020. [Online]. Available: https://arxiv.org/pdf/2011.01473.pdf.10.1109/GCWkshps50303.2020.9367413 ↗
57. Load balancing of energy cloud using wind driven and firefly algorithms in internet of everything10.1016/j.jpdc.2020.02.010 ↗
58. A multifaceted vigilare system for intelligent transportation services in smart cities
59. A visualized botnet detection system based deep learning for the internet of things networks of smart cities10.1109/TIA.2020.2971952 ↗
60. Low-dimensional models for missing data imputation in road networks
61. Anonymity preserving IoT-based COVID-19 and other infectious disease contact tracing model10.1109/ACCESS.2020.3020513 ↗