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This paper studies and solves the problem of predicting bus passenger flow for bus scheduling, and provides a reference for bus operation scheme.
May 17, 2021 · This paper studies and solves the problem of predicting bus passenger flow for bus scheduling, and provides a reference for bus operation scheme ...
I have used Time Series Analysis to predict the behavior and pattern of Passengers at a bus stop, Data Visualizations include Time-Series Plots.
In this paper, the time series analysis is used to analyze the trend of passenger flow at each time of the day to obtain a specific model and to predict the ...
In this paper, a short-term TT prediction model based on profile similarity is proposed. The proposed prediction model is based on the similarity between ...
This paper presents a novel framework for traffic flow decomposition and modeling named Time Series Decomposition (TSD).
Aug 3, 2024 · In this paper, this relevance is discussed and based on the experimental evidences the goodness to use time series based approach is pointed out ...
We propose a method of traffic congestion prediction based on bus driving time (TCP-DT) using long short-term memory (LSTM) technology.
Aug 11, 2022 · The focus of this paper is on bus travel time prediction in a non-lane based mixed traffic flow conditions. Data obtained from GPS devices ...
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Widely used models of travel forecasting are based on regression model and time series. Regression methods evaluate the value of dependent variables from the ...