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Elimination of systematic faults and maintenance uncertainties on the City of Johannesburg's roads Intelligent Transport Systems

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dc.contributor.advisor Du, S. (Shengzhi)
dc.contributor.author Makhwathana, Phalanndwa Lawrence
dc.date.accessioned 2017-10-10T06:02:16Z
dc.date.available 2017-10-10T06:02:16Z
dc.date.issued 2016-02
dc.date.submitted 2017-02
dc.identifier.citation Makhwathana, Phalanndwa Lawrence (2016) Elimination of systematic faults and maintenance uncertainties on the City of Johannesburg's roads Intelligent Transport Systems, University of South Africa, Pretoria, <http://hdl.handle.net/10500/23209>
dc.identifier.uri http://hdl.handle.net/10500/23209
dc.description.abstract Road transport mobility continues to be a challenge to the City of Johannesburg (CoJ)’s economy in general. Traffic signals, their remote monitoring and control systems are the current implemented Intelligent Transport Systems (ITS), but daily systematic faults and maintenance uncertainties on such systems decrease the effectiveness of traffic engineers’ intersections optimization techniques. Inefficient electrical power supply to such ITS is a challenge, with conditional power cuts and fluctuations, uncertainties on traffic control system faults. Another factor leading to the problem is the communication channel which is using traditional modems which are not reliable. Reporting through both customer complaints and such unreliable remote monitoring systems makes maintenance to be ineffective. In this dissertation, the factors leading to the faults and uncertainties are considered. The proposed solution considers the important concerns of ITS, such as electrical power source performance optimization technique, road traffic control systems compatibility and communications systems en
dc.format.extent 1 online resource (xiii, 91 leaves : illustrations, maps (some color), graphs)
dc.language.iso en en
dc.subject Intelligent Transport Systems en
dc.subject Uninterruptable Power Supply en
dc.subject Battery Runtime en
dc.subject Load Prediction en
dc.subject Fuzzy logic systems en
dc.subject Artificial Neural Networks en
dc.subject Packet switching en
dc.subject.ddc 388.3120968221
dc.subject.lcsh Intelligent transportation systems -- South Africa -- Johannesburg en
dc.subject.lcsh Uninterruptible power supply -- South Africa -- Johannesburg en
dc.subject.lcsh Fuzzy logic en
dc.subject.lcsh Neural networks (Computer science) en
dc.subject.lcsh Packet switching (Data transmission) en
dc.title Elimination of systematic faults and maintenance uncertainties on the City of Johannesburg's roads Intelligent Transport Systems en
dc.type Dissertation en
dc.description.department Electrical and Mining Engineering en
dc.description.degree M. Tech. (Electrical Engineering)


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  • Unisa ETD [12184]
    Electronic versions of theses and dissertations submitted to Unisa since 2003

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