Trip mode inference from mobile phone signaling data using Logarithm Gaussian Mixture Model
Trip mode inference plays an important role in transportation planning and management. Most studies in the field have focused on the methods based on GPS data collected from mobile devices. While these methods can achieve relatively high accuracy, they also have drawbacks in data quantity, coverage...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Minnesota
2020-11-01
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| Series: | Journal of Transport and Land Use |
| Subjects: | |
| Online Access: | https://www.jtlu.org/index.php/jtlu/article/view/1554 |