Computational and Communication Science Engineering [ CoCSE]

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Browsing Computational and Communication Science Engineering [ CoCSE] by Author "Adam, Kitoi"

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    Development of Railway Information System to Improve Railway Data Aggregation and Analysis in Tanzania
    (Hindawi, 2023-05-11) Adam, Kitoi; Dida, Mussa; Nyambo, Devotha
    For more than three decades, railway transportation in Tanzania has been in an on-and-off state even though a railway network exists. This is due to damaged tracks, a lack of proper management, and railway operational information. Recently, the Tanzanian government made efforts to revive railway transportation by reopening a few train routes and constructing a new and improved railway network. Even with revived operations, the digitalization process of railway data is still at a low pace as most data is populated in excel sheets for analysis; the major source of data being paper-based. With the use of a mixed research method, this paper provides an information system in the form of mobile and web applications, which provide a platform for populating railway data through the web application accessible to the railway corporation and disseminating railway information to the public through the mobile application. With these platforms, data aggregation and analysis have been made easier and more understandable than the use of excel sheets alone. The results show great possibilities for increased use of digital techniques such as web mapping, which contribute to higher data accuracy and better visualization of railway information that can be disseminated to the public.
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    Development of web and android applications for management of railway data aggregation and analysis for Tanzania railway corporatio
    (NM-AIST, 2023-08) Adam, Kitoi
    Railway transportation is one of the oldest forms of transportation that created links to populated and unpopulated parts of the world with railway tracks constructed through remote areas in earlier days. The ever-growing utilization of science and technology has been implemented in railway transportation to reduce travel time and increase passenger comfortability. African countries such as Tanzania acquired a railway network during the colonial era with the government performing few modifications to cater to evolving passengers’ needs. There are still setbacks in generating adequate information on how the railway sector progresses and how railway information is disseminated to the public. This study utilizes information technology and provides means for railway data collection, analysis, and information dissemination in Tanzania through the use of web and mobile applications. The study was conducted through the collection of data from Tanzania Railway Corporation (TRC) headquarters in Dar es Salaam intending to understand the overall performance of the railway sector in terms of data acquisition and information dissemination. The research looked into ways in which Tanzania differs from railway systems that are statistically improved with Great Britain being the casing point and found use of fewer railway attributes being collected and analyzed. This prompted the development of an improved railway information system which used mixed approach in data collection involving interviews with TRC staff, questionnaires distributed among passengers, and document reviews. From system requirements acquired, android and web applications were successfully developed which create a gateway to railway information, provide visual presentations of collected data from day-to-day railway operations, create up-to-date maps of the Tanzania railway network, and foster higher accuracy data collection.. The evaluation of the developed system showed great acceptance as a way forward for railway data capturing, analyzing and dissemination in the near future. Inclusion of GIS techniques proved to be of importance in creating awareness of Tanzania railway network to the public with participants having a higher percentage of agreement in the matter. In general acceptance, the system received more than 75% approval rating prompting more usage of railway data attributes as evaluation keypoint in railway transportation within Tanzania.