A Scalable Smart Parking Management System With A Client Mobile Application
|International Journal of Computer Science and Engineering|
|© 2021 by SSRG - IJCSE Journal|
|Volume 8 Issue 5|
|Year of Publication : 2021|
|Authors : Oludolapo Olufajo, Michael Mustapha|
How to Cite?
Oludolapo Olufajo, Michael Mustapha, "A Scalable Smart Parking Management System With A Client Mobile Application," SSRG International Journal of Computer Science and Engineering , vol. 8, no. 5, pp. 1-11, 2021. Crossref, https://doi.org/10.14445/23488387/IJCSE-V8I5P101
As urban migration remains on the increase, many modern vehicle users tend to rely on established navigation system technologies to locate their destinations with ease. However, particularly in large public parking lots, securing convenient parking slots close enough to the driver’s destination of interest is a common challenge. Similarly, many non-expert drivers have issues parking without assistance. The proposed smart system thus tackles these challenges by proffering a parking slot assignment and route navigation system, which uses a novel algorithm to assign vehicles to the closet vacant parking slot to their desired destination and the Dijkstra’s algorithm to identify the best route within the parking lot. Using appropriately placed ultrasonic sensors and color-coded light indicators, unmanned parking assistance was provided. A mobile application was built to serve as the user interface for the drivers to book and receive parking slot assignments. The parking slot assignment validity was tested with a scenario of a shopping complex parking on a busy day, and the smart parking system gave optimal parking slot allocation to users via the mobile application. Subsequently, it was estimated that operating the smart parking system has the potential of saving 1.609Kg of CO emission in a year.
Android Application, Navigation System, Sensor placement, Smart Parking.
 www.weforum.org/agenda/2016/04/the-number-of-cars-worldwide-is-set-to-double-by-2040 (accessed on 09/04/2020).
 Zhang, K., & Batterman, S. Air pollution and health risks due to vehicle traffic. The Science of the total environment, 450-451,( 2013) 307–316,.
 M. Fraifer and M. Fernström. Investigation of Smart Parking Systems and their technologies. Thirty Seventh International Conference on Information Systems, Dublin: 3-7, 2016.
 V. N. Bhonge and M. Patil. Wireless sensor network and RFID for smart parking system. International Journal of Emerging Technology and Advanced Engineering, 3(4)( 2013) 188–192,.
 A. Kianpisheh, N. Mustaffa, P. Limtrairut, and P. Keikhosrokiani. Smart Parking System (SPS) Architecture Using Ultrasonic Detector. International Journal of Software Engineering and Its Applications, 6(3)(2012) 51-58.
 M. H. Kadhim. Arduino Smart Parking Manage System based on Ultrasonic Internet of Things (IoT) Technologies, International Journal of Engineering & Technology, 7(3.20)( 2018) 494-501.
 I. M. Marcu, A. Țigănuș, A. M. Drăgulinescu, and G. Suciu Jr. A New Approach on Smart-Parking Concept. ECBS’19, Bucharest, Romania, 2019.
 A. Ahmed, M. Olaniyi, J. Kolo, and S. Oyetoro. Developing Smart Car Parking System Using Wireless Sensor Networks. CoRI’16, Sept 7–9, Ibadan, Nigeria, (2016) 201-206.
 J. Joseph, R. G. Patil, S. K. K. Narahari, Y. Didagi, and J. Bapat, D. Das. Wireless Sensor Network Based Smart Parking System. International Frequency Sensor Association (IFSA) Publishing, (2014) 1-6.
 C. Lee, Y. Han, S. Jeon, D. Seo, and I. Jung. Smart Parking System for Internet of Things. IEEE International Conference on Consumer Electronics (ICCE). (2016) 263-264.
 J. Cynthia, C. Bharathi Priya and P. A. Gopinath. IOT based Smart Parking Management System. International Journal of Recent Technology and Engineering (IJRTE), 7(4) (2018) 374-379.
 L. F. L. Vega, D. A. M. Torres, E. L. Neri, M. A. C. Mancilla, and L. E. G. Jiménez. IoT Smart Parking System Based on the Visual-
Aided Smart Vehicle Presence Sensor: SPIN-V. Sensors 20, 1476, 2020.
 www.sensorwiki.org/sensors/ultrasound (accessed on 16/03/2020).
 S. Capa, Road Sight design and driver eye height, Procedia - Soc. Behav. Sci., 53(2012) 731–740.
 T. H. Cormen, C.E. Leiserson, R. L. Rivest, and C. Stein. Introduction to Algorithms 3rd Edition. The MIT Press, Cambridge, Massachusetts, London, England. 658, 2009.
 E. Gamma, R. Helm, R. Johnson, and J. Vlissides. Head First Design Pattern. Oriely. 1994.
 U.S. Environmental Protection Agency, Office of Transportation and Air Quality, Estimated U.S. Average Vehicle Emissions Rates per Vehicle by Vehicle Type Using Gasoline and Diesel, Apr. 6, 2018 https://www.bts.gov/sites/bts.dot.gov/files/table_04_43q218.xlsx (Accessed on 26/11/2020)