A two-layer modelling framework for predicting passenger flow on trains: A case study of London underground trains
Q Zhang, X Liu, S Spurgeon, D Yu - … Research Part A: Policy and Practice, 2021 - Elsevier
A model that anticipates the passenger flow on trains will help passengers to avoid
overcrowded trains in their journey planning. Such a model will also help rail industry to …
overcrowded trains in their journey planning. Such a model will also help rail industry to …
The day-ahead forecasting of the passenger occupancy in public transportation by using machine learning
A Altıntaş, L Davidson, G Kostaras, M Isaac - International Conference on …, 2021 - Springer
Public transport is one of the main infrastructures of a sustainable city. For this reason, there
are many studies on public transportation which mostly answer the question of “when my …
are many studies on public transportation which mostly answer the question of “when my …
[PDF][PDF] A Novel Short-Time Passenger Flow Prediction Method for Urban Rail Transit: CEEMDAN-CSSA-LSTM Model Based on Station Classification.
J Zhao, J Jiang, W Liu, M Li, Y Xu, K Hou… - Engineering …, 2023 - engineeringletters.com
For urban rail transit (URT) operating companies, short-time passenger flow forecasting is a
complex and critical task that determines the formulation and arrangement of operation …
complex and critical task that determines the formulation and arrangement of operation …
Remote Sensing Image Water Body Recognition Algorithm Based on Deep Convolution Generating Network and Combined Features
Y Zhao, C Feng - Wireless Communications and Mobile …, 2022 - Wiley Online Library
The application of remote sensing images in water body recognition has become an
effective method for ecological environment detection and evaluation, which has the …
effective method for ecological environment detection and evaluation, which has the …
Analisis Prediksi Okupansi Jumlah Penumpang Kereta Api dengan Metode Support Vector Regression dan Gaussian Process Regression (Studi Kasus: Kereta Api …
M Kallista - Tensor: Pure and Applied Mathematics Journal, 2020 - ojs3.unpatti.ac.id
SVR (support vector regression) dan GPR (gaussian process regression) adalah beberapa
metode di dalam pembelajaran mesin yang sering digunakan untuk mengakomodasi …
metode di dalam pembelajaran mesin yang sering digunakan untuk mengakomodasi …