dc.contributor.advisor |
Du, S. (Shengzhi)
|
|
dc.contributor.author |
Makhwathana, Phalanndwa Lawrence
|
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dc.date.accessioned |
2017-10-10T06:02:16Z |
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dc.date.available |
2017-10-10T06:02:16Z |
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dc.date.issued |
2016-02 |
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dc.date.submitted |
2017-02 |
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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> |
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dc.identifier.uri |
http://hdl.handle.net/10500/23209 |
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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) |
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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 |
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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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