Interpretable machine learning approach in estimating traffic volume on low-volume roadways
Many state and local agencies are currently facing challenges concerning the collection and estimation of traffic volumes, particularly regarding the collection of annual average daily traffic (AADT) on low-volume roads. To overcome these challenges, there is a need to develop new affordable methods...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2020-03-01
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| Series: | International Journal of Transportation Science and Technology |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2046043019301108 |