Early crowd forecasting away from stations by geographically complemented regression using transit search and mobility logs
Abstract Forecasting crowd gatherings in advance, such as 1 week before they happen, plays a vital role in ensuring smooth mobility and public safety. Although early crowd forecasting has become possible by leveraging visitors’ mobility schedules extracted from transit search logs, the forecasting a...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-07-01
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| Series: | Journal of Big Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40537-025-01214-6 |
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