SIT740 Research and Development: Intelligent Parking Systems Review

This paper provides a literature review of intelligent parking systems, focusing on three research papers. The first paper introduces iParking, a low-cost system for detecting vehicle arrival and departure using sensors, routers, a server, and a user interface smartphone application. The second paper discusses the use of magnetic sensors in parking systems, highlighting their advantages in cost, size, and power consumption, and introduces four parking algorithms: Turnover of Parking Space, Average Parking Time, Parking Utilization Rate, and Parking Concentration Index. The third paper details the development of a parking system that includes license plate recognition, semiautomatic recognition via camera, and barcode recognition, along with features for managing parking, employees, accounts, and statistics. The review is related to SIT740 Research and Development in Information Technology course.

Running head: DEVELOPMENT IN INFORMATION TECHNOLOGY
Development of Information Technology in Intelligent Parking
Name of Student-
Name of Student-
Author’s Note-

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iParking: An intelligent parking system for large parking lots
For making the parking system better, this paper illustrates the development of parking
system, which is known as iParking which is a very low cost system and is also able to detect the
arrival and departure of the vehicles automatically. The system of iParking can be used by the
users by installing an application of iParking in their smart phones. The system of iParking maily
has four components, involving sensor roles, server, user interface, and routers (Zheng et al
2015). Sensors usually detects the spot weather the spot is empty or filled-up. The sensor is
usually low-cost and is little affected by the environmental factors. Routers helped in the system
helps to forward data from sensors to the other routers. The work of the server that is highlighted
in this paper is to collect the data that are sent by sensor nodes and then forwards them and stores
the data.
Parking Survey Made Efficient in Intelligent Parking Systems
This paper explains the working of parking system with the use of magnetic sensor. The
survey that is done on parking is most important thing for all the managers involved in parking
and the researchers and planners. This paper discusses all problem related to build a parking
survey in the parking system where there is parking spaces, entry as well as exit that are to be
detected by the system of parking. There are many advantages of the magnetic sensors (Chen et
al. 2016). These magnetic sensors are very advantageous because of low cost, less in size, power
consumption is less and the installation process is easy as compared to other sensors. The
magnetic sensors mainly use the Wireless Sensor Network for data detection. The WSN works
on mainly on three layers, convergence layer, detection layer, and access layer. This report also

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involves four types of parking algorithm. The algorithm involves Turnover of Parking Space,
Average Parking Time, Parking Utilization Rate, and Parking Concentration Index.
An approach for building an intelligent parking support system
This paper describes all the procedures for building up a parking system. The system that
is developed in this paper not only includes the features of other parking systems, but also
includes three recognizing techniques, which includes automatic recognition of the license plate
of the vehicle, semiautomatic recognition over camera, and barcode recognition (Thai-Nghe and
Chi-Ngon 2014). The system of parking that is proposed in this paper includes managing the
park in and park out of the vehicle, management of parking card, management of employee,
account management, searching, and also doing the statistics.

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References
Chen, N., Wang, L., Jia, L., Dong, H. and Li, H., 2016. Parking Survey Made Efficient in
Intelligent Parking Systems. Procedia engineering, 137, pp.487-495.
Thai-Nghe, N. and Chi-Ngon, N., 2014, December. An approach for building an intelligent
parking support system. In Proceedings of the Fifth Symposium on Information and
Communication Technology (pp. 192-201). ACM.
Zheng, D., Zhang, X., Shu, Y., Fang, C., Cheng, P. and Chen, J., 2015, April. iParking: An
intelligent parking system for large parking lots. In Computer Communications Workshops
(INFOCOM WKSHPS), 2015 IEEE Conference on (pp. 37-38). IEEE.