Emerging Technologies for Developing Countries. Second EAI International Conference, AFRICATEK 2018, Cotonou, Benin, May 29–30, 2018, Proceedings

Research Article

Internet of Things-Based Framework for Public Transportation Fleet Management in Non-smart City

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  • @INPROCEEDINGS{10.1007/978-3-030-05198-3_1,
        author={Muthoni Masinde and Ahmed Shoman and Mohamed Mostafa},
        title={Internet of Things-Based Framework for Public Transportation Fleet Management in Non-smart City},
        proceedings={Emerging Technologies for Developing Countries. Second EAI International Conference, AFRICATEK 2018, Cotonou, Benin, May 29--30, 2018, Proceedings},
        proceedings_a={AFRICATEK},
        year={2018},
        month={12},
        keywords={Intelligent public transport system Internet of things framework Free State province South Africa},
        doi={10.1007/978-3-030-05198-3_1}
    }
    
  • Muthoni Masinde
    Ahmed Shoman
    Mohamed Mostafa
    Year: 2018
    Internet of Things-Based Framework for Public Transportation Fleet Management in Non-smart City
    AFRICATEK
    Springer
    DOI: 10.1007/978-3-030-05198-3_1
Muthoni Masinde1,*, Ahmed Shoman1,*, Mohamed Mostafa1,*
  • 1: Central University of Technology, Free State
*Contact email: muthonimasinde@gmail.com, admsho@gmail.com, mmostafa@cut.ac.za

Abstract

The notable increase in location-based applications especially in smart cities realm is driven by the emergence of miniaturized, cheaper and readily available location-based internet of things’ devices. The backbone of the internet of things is a well-orchestrated electronic infrastructure, telecommunication and information technology. Such a backbone is the precursor for the success of internet of things applications that have mushroomed in the public transportation sectors of the developed world. The developing countries such as South Africa have not kept pace with the development of these electronic infrastructures. Implementation of smart city concepts such as intelligent public transportation system in these countries therefore requires novel approaches. As one of the solutions to this, we present an internet of things framework that enables the integration of multiple cost-effective internet of things technologies through which public transport-related information can be obtained in cost-effective and robust ways. The framework was designed and evaluated using a system prototype for the Free State province (South Africa) public transport system case.