STUDY OF REDUCING THE NUMBER OF TRAFFIC SENSORS IN THE ESTIMATION OF TRAFFIC FLOWS USING GRAPH NEURAL NETWORK
The increasing vehicle volume every year affects the prediction of the traffic system. The purpose of predicting traffic flow is to estimate the lost data caused by sensor malfunctions due to connection disruptions or aging. To be able to estimate the data historical from the nearest sensor is neede...
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| 主要作者: | |
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| 格式: | Theses |
| 語言: | Indonesia |
| 在線閱讀: | https://digilib.itb.ac.id/gdl/view/65414 |
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