Abstract
Traveling by public transportation is a daily activity for many people, so the number of passenger can provide useful congestion information to passengers. In this paper, we describe a practicability study of using the polynomial regression method for predicting the number of waiting passengers at the bus stop by passively monitoring the activity Wi-Fi signal from mobile devices. We also show our experimental results by comparing the predicted number of passengers to the actually observed number of passengers at the bus stop.
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CITATION STYLE
Oransirikul, T., & Takada, H. (2019). The practicability of predicting the number of bus passengers by monitoring Wi-Fi signal from mobile devices with the polynomial regression. In UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (pp. 781–787). Association for Computing Machinery, Inc. https://doi.org/10.1145/3341162.3344864
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