Next Article in Journal
Study and Application of Asymmetrical Disk Tools for Hard Rock Mining
Next Article in Special Issue
Determination of Water Depth in Ports Using Satellite Data Based on Machine Learning Algorithms
Previous Article in Journal
Evaluation of Inoculated Waste Biological Stabilization Degree by Olfactometric Methods
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Live Smart Parking Demonstrator: Architecture, Data Flows, and Deployment †

1
NEST Research Group, LRI Laboratory, ENSEM, Hassan II University of Casablanca, Oasis BP 8118, Morocco
2
Foundation for Research, Development, Innovation and Engineering Sciences (FRDISI), Casablanca 8118, Morocco
3
EAS Team, LRI Laboratory, ENSEM, Hassan II University of Casablanca, Oasis BP 8118, Morocco
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in 2020 5th International Conference on Smart and Sustainable Technologies (SpliTech), Split, Croatia, 23–26 September 2020.
Energies 2021, 14(7), 1827; https://doi.org/10.3390/en14071827
Submission received: 15 December 2020 / Revised: 11 January 2021 / Accepted: 16 January 2021 / Published: 25 March 2021

Abstract

Smart Parking is essential for any future smart cities due to the tremendous growth of the car fleet. Such infrastructures require a certain amount of equipment. Indeed, smart parking integrates a lot of actors, to manage the parking its equipment must be managed accordingly. Here, is proposed a distributed architecture to manage them by collecting efficiently their data. Two types of data relating to the parking must be collected: those coming from the deployed equipment in the parking and those coming from the internet due to remote users. Thus, a system of two main servers based on the multi-agent concept is proposed. This system manages the parking platform. The first server is dedicated to the parking equipment data collection (Processing Server–PS). The second server (Processing Web Server–PWS) collects the users’ online data such as reservation, and it is responsible for pricing policies, and receive post-processed data from the Processing Server. The parking equipment integrates a lot of commercial solutions, an intelligent multi-platform application based on this two server philosophy is developed and can be used for parking operation by users and parking managers. The flowcharts of the agents from the two mains servers are presented. These flowcharts are currently used in our demonstrator and still under improvements. Here, we present the architecture (hardware and software) of our smart parking demonstrator developed by our department and suitable for the experimentation of our future work related to this hot topic.
Keywords: smart parking; IoT sensors; parallel management; multi-agent system (MAS); LoRaWAN/Sigfox gateway; Lora parser smart parking; IoT sensors; parallel management; multi-agent system (MAS); LoRaWAN/Sigfox gateway; Lora parser

Share and Cite

MDPI and ACS Style

Coulibaly, M.; Errami, A.; Belkhala, S.; Medromi, H. A Live Smart Parking Demonstrator: Architecture, Data Flows, and Deployment. Energies 2021, 14, 1827. https://doi.org/10.3390/en14071827

AMA Style

Coulibaly M, Errami A, Belkhala S, Medromi H. A Live Smart Parking Demonstrator: Architecture, Data Flows, and Deployment. Energies. 2021; 14(7):1827. https://doi.org/10.3390/en14071827

Chicago/Turabian Style

Coulibaly, Moussa, Ahmed Errami, Sofia Belkhala, and Hicham Medromi. 2021. "A Live Smart Parking Demonstrator: Architecture, Data Flows, and Deployment" Energies 14, no. 7: 1827. https://doi.org/10.3390/en14071827

APA Style

Coulibaly, M., Errami, A., Belkhala, S., & Medromi, H. (2021). A Live Smart Parking Demonstrator: Architecture, Data Flows, and Deployment. Energies, 14(7), 1827. https://doi.org/10.3390/en14071827

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop