Internet of things-based framework for public transportation fleet management in the Free State

dc.contributor.advisorMasinde, Muthoni
dc.contributor.advisorMostafa, Mohamed M.H.
dc.contributor.authorShoman, Ahmed
dc.contributor.otherCentral University of Technology, Free State. Faculty of Engineering, Built Environment and Information Technology. Department of Information Technology
dc.date.accessioned2019-06-24T11:29:58Z
dc.date.available2019-06-24T11:29:58Z
dc.date.issued2019
dc.descriptionThesis (Masters: Information Technology) -- Central University of Technology, Free State, 2019en_US
dc.description.abstractThe poor service delivery by the Free State public transportation system inspired us to design a framework solution to improve the current system. This qualitative study focuses on improving the management of the public transportation fleet. One of the most recently developed technologies in Information and Communication Technology (ICT), namely the Internet of Things (IoT), was utilised to develop this framework. Existing problems were identified through research observations, analyses of the current system, analyses of the current problem areas, as well as participants’ questionnaire answers and recommendations, the participants being the passengers, drivers and vehicle owners. The framework was developed in two phases, namely a hardware phase that makes use of ICT sensors (e.g. RFID, GPS, GPRS, IR, Zigbee, WiFi), and a software phase that uses an internet connection to communicate with the different ICT devices. The software utilised a Graphic User Interface (GUI) to ensure that the software is user-friendly and addresses possible problems and barriers such as multiple language interfaces and different ICT skills levels. The newly designed framework offers different services and solutions to meet the participants’ needs, such as real-time tracking for public transport vehicles to help passengers manage their departure and arrival times, as well as for vehicle owners to monitor their own vehicles. In turn, vehicle arrival notifications will encourage passengers to be on time so that vehicles will not be delayed unnecessarily. Another feature is counting devices that can be installed inside the vehicles, which will inform vehicle owners how many passengers are being transported by a vehicle. The passenger pre-booking system will support the drivers when planning their trips/routes. Finally, the framework was designed to fulfil all the participants’ needs that were indicated in the questionnaires in order to achieve the goal of the research study.en_US
dc.identifier.urihttp://hdl.handle.net/11462/1950
dc.language.isoenen_US
dc.publisher[Bloemfontein] : Central University of Technology, Free Stateen_US
dc.rights.holderCentral University of Technology, Free State
dc.subjectCentral University of Technology, Free State -- Dissertationsen_US
dc.subjectInternet of thingsen_US
dc.subjectIntelligent transportation systemsen_US
dc.subjectFleet managementen_US
dc.titleInternet of things-based framework for public transportation fleet management in the Free Stateen_US
dc.typeThesisen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Shoman,Ahmed_Redacted.pdf
Size:
8.39 MB
Format:
Adobe Portable Document Format
Description:
Full thesis

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: