Multi-layer perceptron based transfer passenger flow prediction in Istanbul transportation system

A Utku, SK Kaya - Decision Making: Applications in …, 2022 - dmame-journal.org
Estimating passenger movement in transportation networks is a critical aspect of public
transportation systems. It allows for a greater understanding of traffic patterns, as well as …

[HTML][HTML] Development and evaluation of frameworks for real-time bus passenger occupancy prediction

J Wood, Z Yu, VV Gayah - International Journal of Transportation Science …, 2023 - Elsevier
One critical aspect of bus service quality that influences riders' attitudes is the availability of
seating and/or space to board vehicles. Unfortunately, little attention has been given to short …

Advanced hybrid LSTM-transformer architecture for real-time multi-task prediction in engineering systems

K Cao, T Zhang, J Huang - Scientific Reports, 2024 - nature.com
In the field of engineering systems—particularly in underground drilling and green
stormwater management—real-time predictions are vital for enhancing operational …

Improving the prediction of passenger numbers in public transit networks by combining short-term forecasts with real-time occupancy data

J Hoppe, F Schwinger, H Haeger… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Passengers of public transportation nowadays expect reliable and accurate travel
information. The need for occupancy information is becoming more prevalent in intelligent …

On designing day ahead and same day ridership level prediction models for city-scale transit networks using noisy apc data

JP Talusan, A Mukhopadhyay… - … Conference on Big …, 2022 - ieeexplore.ieee.org
The ability to accurately predict public transit ridership demand benefits passengers and
transit agencies. Agencies will be able to reallocate buses to handle under or over-utilized …

Network-wide public transport occupancy prediction framework with multiple line interactions

F Gallo, N Sacco, F Corman - IEEE Open Journal of Intelligent …, 2023 - ieeexplore.ieee.org
This paper addresses the problem of predicting the occupancy of urban public transport
vehicles with a network-wide framework where the effects of the interactions between …

Unified Occupancy on a Public Transport Network through Combination of AFC and APC Data

A Dib, N Cherrier, M Graive, B Rérolle… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
In a transport network, the onboard occupancy is key for gaining insights into travelers'
habits and adjusting the offer. Traditionally, operators have relied on field studies to evaluate …

Conditional forecasting of bus travel time and passenger occupancy with Bayesian Markov regime-switching vector autoregression

X Chen, Z Cheng, AM Schmidt, L Sun - arXiv preprint arXiv:2401.17387, 2024 - arxiv.org
Accurately forecasting bus travel time and passenger occupancy with uncertainty is
essential for both travelers and transit agencies/operators. However, existing approaches to …

A Graph Neural Network Framework for Imbalanced Bus Ridership Forecasting

S Gupta, A Khanna, JP Talusan, A Said… - … on Smart Computing …, 2024 - ieeexplore.ieee.org
Public transit systems are paramount in lowering carbon emissions and reducing urban
congestion for environmental sustainability. However, overcrowding has adverse effects on …

Predicting Passenger Occupancy of Commercial Buses Using Regression Approach of Machine Learning

AE Laksana, BJ Santoso - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
In an era where efficient urban transit is more critical than ever, accurately predicting
passenger occupancy in commercial buses becomes essential for streamlining city traffic …