DaTiLis: distributed traffic light simulator
| dc.contributor.author | Bergheim, Gavin | |
| dc.date.accessioned | 2016-07-18T12:07:53Z | |
| dc.date.available | 2016-07-18T12:07:53Z | |
| dc.date.issued | 2016-07-18 | |
| dc.description | A dissertation submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg, in fulfilment of requirements for the degree of Master of Science. Degree awarded with distinction on 4 December 1996. Johannesburg 1996. | en_ZA |
| dc.description.abstract | The problem with existing traffic light systems is that they are static and unable to respond to dynamic changes in traffic flow patterns. This report discusses an approach using distributed AI techniques to allow the control system to respond dynamically to the changes in the flow patterns. A simulated system (Datilis) has been developed, The design of the system is based on the assumption that maximising throughput at individual intersections will result in improved overall performance. The results generated and discussed in this report support this hypothesis. | en_ZA |
| dc.identifier.uri | http://hdl.handle.net/10539/20659 | |
| dc.language.iso | en | en_ZA |
| dc.subject.lcsh | Traffic engineering. | |
| dc.subject.lcsh | Traffic signs and signals. | |
| dc.title | DaTiLis: distributed traffic light simulator | en_ZA |
| dc.type | Thesis | en_ZA |
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