Mining contextual information for urban traffic speed estimation with random forest model
In most regions of the world, traffic systems are under increasing pressure as the population and number of automobiles grow. To reduce the burden on the urban road network caused by the increasing number of vehicles, it is essential to know the dynamic traffic speeds on the road network at each tim...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/158324 |