Predicting Transportation Demand based on AR-LSTMs Model with Multi-Head Attention
碩士 === 國立中央大學 === 軟體工程研究所 === 107 === Smart transportation is a crucial issue for a smart city, and the forecast for taxi demand is one of the important topics in smart transportation. If we can effectively predict the taxi demand in the near future, we may be able to reduce the taxi vacancy rate, r...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/j7pg8k |