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Faculty of Accounting and Informatics

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Subject: search.filters.subject.Smart city

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    Adoption of smart traffic system to reduce traffic congestion in a smart city
    (Springer Nature Switzerland, 2023) Aroba, Oluwasegun Julius; Mabuza, Phumla; Mabaso, Andile; Sibisi, Phethokuhle
    Cities across the world suffer significantly from traffic congestion. Governments are trying to harness the power of today's computing, networking, and communication technologies to build system that can improve the efficiency of current road traffic and conditions. The study investigated the purpose efficiencies of intelligent system to assess their performance. Considering the findings, it can be said that traffic flow forecasting (TFF) possibilities are numerous, involve a variety of technologies, and can significantly reduce most traffic issues in smart cities. The studies were later evaluated to find similarities, content, benefits, and disadvantages of traffic congestion. By applying the project management tools such as the performance metrics and SQERT model were used to evaluate and prioritize the state-of-the-art methods. A classical model was proposed to improve upon and determine the traffic dangers that affect road users and aggregate the information about traffic from vehicles, traffic lights, and roadside sensors. These on-road sensors (ORS) performance are used for analyses such are vehicle classification, speed calculations, and vehicle counts.
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    The adoption of an intelligent waste collection system in a smart city
    (IEEE, 2023-03) Mthethwa, Simphiwe M.; Xulu, Thuthukani; Msani, Nonsikelelo N.; Mohlakoana, Thuso T.; Ndlovu, Experience E.; Aroba, Oluwasegun Julius
    Solid waste management has become a significant concern in environmental issues. This can be a problem, especially in cities where the population is quickly developing, and the sum of waste produced is expanding like never before. Programs for innovative city waste can help raise proficiency, diminish costs, and improve the aesthetics of open places as cities endeavor to oversee waste in public regions effectively. This study enhances intelligent waste systems by developing innovative technologies and software as additional tools for collection. This research demonstrates how the SQERT model, a periodic trend analysis report specific to projects, will be used to assess the intelligent waste management system and the proposed software technology. Furthermore, A software prototype visualization was created to demonstrate and show how the software system will look and its functionalities to improve the waste collection system.