The comparative analysis of SARIMA, Facebook Prophet, and LSTM for road traffic injury prediction in Northeast China
ObjectiveThis cross-sectional research aims to develop reliable predictive short-term prediction models to predict the number of RTIs in Northeast China through comparative studies.MethodologySeasonal auto-regressive integrated moving average (SARIMA), Long Short-Term Memory (LSTM), and Facebook Pro...
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| Main Authors: | , , , , , , |
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| Format: | Book |
| Published: |
Frontiers Media S.A.,
2022-07-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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