This article completes the analysis of Shenzhen's subway passenger flow through big data analysis. It is of great significance to solve urban congestion, ...
This article completes the analysis of Shenzhen's subway passenger flow through big data analysis to solve urban congestion, optimize the traffic network, ...
Analysis of subway passenger flow based on smart card data
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This may include using static, spatial-only data with no temporal dimension, like local pedestrian count data showing pedestrian volumes in relation to land ...
Dec 14, 2023 · The results show that precipitation, temperature, and wind-chill index grade have an obvious impact on passenger flow at subway stations on ...
The bus smart card data record the spatiotemporal information of each subway passenger's travel start and end station at a low cost. Furthermore, data mining ...
Mining smart card data for transit riders' travel patterns · Passenger distribution modelling at the subway platform based on ant colony optimization algorithm.
In this paper, besides traditional smart card data, we incorporate social media data into passenger flow prediction.
This study develops a sequential K-means clustering algorithm that utilizes smart card data to categorize Beijing subway stations. The temporal characteristics ...
Feb 17, 2022 · A massive smart card transaction dataset is used to analyze the daily number of passengers for each station in Seoul Metro. First, we cluster ...
Jan 21, 2024 · This study proposes a data-driven methodology for estimating the transfer passenger flow volume of each transfer station in a metro network by mining smart ...