CITY-SCALE TAXI DEMAND PREDICTION USING MULTISOURCE URBAN GEOSPATIAL DATA
Real-time, accurate taxi demand prediction plays an important role in intelligent traffic system. It can help manage taxi patching and minimize the time and energy waste caused by waiting. In the era of big data, a diversity of urban data and increasingly complex traffic data have been collected and...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-08-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B4-2020/213/2020/isprs-archives-XLIII-B4-2020-213-2020.pdf |