Machine learning based online traffic incident detection and management for urban networks
Urban traffic networks are often choked due to non-recurrent incidents at random locations. Heavy economic costs, environmental pollution, and severe noise pollution arise from the delay of incident detection and the lack of alternative traffic management strategies. Therefore, it is of great signif...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/153158 |