IoT Enabled real-Time urban transport management system. (September 2020)

• Record Type: Journal Article
• Authors: Chauhan, Vatsal; Patel, Meetu; Tanwar, Sudeep; Tyagi, Sudhanshu; Kumar, Neeraj
• Is Part Of: Computers & electrical engineering. Volume 86(2020)
• Publication Date: 2020-09
• Subjects: Smart parking system -- Raspberry pi -- Arduino -- Internet of things -- Sensors -- Logistic regression; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2020.106746
• Languages: English
• ISSNs: 0045-7906

Abstract

Highlights: We propose an IoT enabled real-time smart parking system (iERS), to facilitate the parking of vehicles. It allows drivers to check the available parking slots nearest to the destination entered by them. The driver also gets directions for the available parking slots. Drones are used to convey information about the available parking slots to the driver by capturing the images. These images are processed at the nearest fog gateways and the information about the available slots in updated by the fog network in the database accordingly. Finally, experiments were conducted on a testbed to validate the advantages of iERS and its ability to outperform the conventional parking schemes. Graphical abstract: Abstract: With the popularity of smart transportation in smart cities, there is an exponential increase in the number of vehicles on the road, which in turn increases the congestion in the network traffic. Therefore, it is becoming a challenging task to find parking slots in modern societies around the globe. To tackle the aforementioned issues, in this paper, we propose a system named iERS, which reduces the user's effort to locate the nearest available parking slots in real-time. It reduces individual efforts to locate a suitable parking slot. iERS helps the user to find an available parking slot and also provides direction towards the slot. iERS uses the Internet of Things (IoT)-based infrastructure to monitor and signal the availability of different parking slots around the smart communities. The simulation and testbed results demonstrate that iERS provides better guidance to the users to reserve the available parking slot in comparison to the other existing solutions.