2020
DOI: 10.1109/access.2020.3007538
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MetroEye: A Weather-Aware System for Real-Time Metro Passenger Flow Prediction

Abstract: Real-time passenger flow prediction plays an important role in subway network design and management. Most of the existing prediction algorithms only consider the sequence of passenger flow volume, however, ignore the influence of other outer factors, for example, the weather conditions, air quality and temperature. In this paper, a systematic framework, MetroEye, is proposed for weather-aware prediction of real-time passenger flow. The framework contains an offline system and an online system. The offline syst… Show more

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Cited by 8 publications
(1 citation statement)
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“…Tang [7] and Wang [8] have studied the influence of external weather factors on passenger flow forecasting successively. They analysed the correlation between weather factors (such as weather conditions, air quality and temperature) and passenger travel.…”
Section: Related Workmentioning
confidence: 99%
“…Tang [7] and Wang [8] have studied the influence of external weather factors on passenger flow forecasting successively. They analysed the correlation between weather factors (such as weather conditions, air quality and temperature) and passenger travel.…”
Section: Related Workmentioning
confidence: 99%