A Cloud-Based Intelligent Toll Collection System for Smart Cities

Popoola, Segun I. and Popoola, Oluwafunso A. and Oluwaranti, A.I. and Atayero, A. A. and Badejo, J. A. and Misra, Sanjay (2018) A Cloud-Based Intelligent Toll Collection System for Smart Cities. Springer Nature. pp. 653-663.

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Abstract

Electronic Toll Collection (ETC) systems may be adopted by city managers to combat the problems of long vehicular queues, fuel wastage, high accident risks, and environmental pollution that come with the use of traditional or manual toll collection systems. In this paper, an intelligent system is developed to eliminate long vehicular queues, fuel wastage, high accident risks, and environmental pollution in a smart city based on seamless interconnections of Wireless Sensor Networks (WSNs), and web and mobile applications that run on an Internet of Things (IoT)-Enabled cloud platform. A ZigBee WSN is designed and implemented using an Arduino UNO, XBee S2 radios, an XBee Shield, and a Seeduino GPRS Shield. For vehicle owners to make toll payments, view toll historical data, and get toll news feeds, a web application and a mobile application are designed and implemented based on Hyper Text Mark-up Language (HTML), Cascading Style Sheets (CSS), Javascript and Hyper Text Pre-processor (PHP). The mobile application is deployed using an Android platform. A cloud platform was also developed to provide business logic functionalities by using PHP as a scripting language, and MySQL as the database engine driver. Deployment of the developed ETC system in smart and connected communities will drastically minimize the challenges of long vehicular queues, fuel wastage, high accident risks, and environmental pollution in urban centers.

Item Type:	Article
Uncontrolled Keywords:	Smart city � Electronic Toll Collection � Internet of Things Mobile application � Cloud computingSmart city � Electronic Toll Collection � Internet of Things Mobile application � Cloud computing
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Mrs Patricia Nwokealisi
Date Deposited:	19 Sep 2018 15:15
Last Modified:	19 Sep 2018 15:15
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/11820

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