Predicting Trip Duration and Distance in Bike-Sharing Systems Using Dynamic Time Warping
Bike-sharing systems (BSSs) have recently become important in urban transportation due to several factors, such as their cost-effectiveness and environmental considerations. The BSS provides an enormous amount of data that is recorded regarding trips. This huge volume of bike sharing data raises var...
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| Main Authors: | Ahmed Ali, Ahmad Salah, Mahmoud Bekhit, Ahmed Fathalla |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2025.2474786 |
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