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A cloud-based intelligent toll collection system for smart cities

Popoola, S.I. and Popoola, O.A. and Oluwaranti, A.I. and Atayero, A.A. and Badejo, J. A. and Misra, S. (2018) A cloud-based intelligent toll collection system for smart cities. In: Smart and Innovative Trends in Next Generation Computing Technologies. Springer Verlag, 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. © Springer Nature Singapore Pte Ltd. 2018.

Item Type: Book Section
Additional Information: cited By 0; Conference of 3rd International Conference on Next Generation Computing Technologies, NGCT 2017 ; Conference Date: 30 October 2017 Through 31 October 2017; Conference Code:214459
Uncontrolled Keywords: Accidents; Cloud computing; Computation theory; Fuels; Intelligent systems; Internet of things; Mobile computing; Pollution; Queueing theory; Smart city; Toll collection; Zigbee, Business logic functionality; Electronic toll collection; Electronic toll collection systems; Environmental pollutions; Internet of Things (IOT); Mobile applications; Toll collection systems; Wireless sensor network (WSNs), Wireless sensor networks
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: Dr. Joke Badejo
Date Deposited: 18 Sep 2018 10:04
Last Modified: 03 May 2019 11:44
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/11666

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