[PDF][PDF] Identification of passenger demand in public transport using machine learning

R Thiagarajan, S Prakashkumar - Webology, 2021 - webology.org
An essential aspect of the transport system is public passenger transport and the Public
Transport (PT) movement prediction is significant issues faced in the transport planning area …

Traffic prediction using multifaceted techniques: A survey

S George, AK Santra - Wireless Personal Communications, 2020 - Springer
Road transportation is the largest and complex nonlinear entity of the traffic management
system. Accurate prediction of traffic-related information is necessary for an effective …

Short-time Prediction of Urban Rail Transit Passenger Flow

J Xuan, J Song, J Liu, Q Zhang, G Xue - Tehnički vjesnik, 2024 - hrcak.srce.hr
Sažetak Accurate prediction of short-term passenger flow in urban rail transit systems plays
a crucial role in optimizing operations and enhancing passenger experience. This study …

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 …

[PDF][PDF] HybridModel for Short-Term Passenger Flow Prediction in Rail Transit.

Y Song, H Lyu, W Zhang - Journal on Big Data, 2023 - cdn.techscience.cn
ABSTRACT A precise and timely forecast of short-term rail transit passenger flow provides
data support for traffic management and operation, assisting rail operators in efficiently …

Applying a multistage of input feature combination to random forest for improving MRT passenger flow prediction

L Liu, RC Chen, Q Zhao, S Zhu - Journal of Ambient Intelligence and …, 2019 - Springer
As one of the main public transport systems all over the world, mass rapid transit (MRT) is
widely served in the metropolitan areas. To meet the increasing travel demands in the future …

Neural network approaches for forecasting short-term on-road public transport passenger demands

S Liyanage, H Dia, R Abduljabbar… - Handbook on Artificial …, 2023 - elgaronline.com
The transport sector has an important role in contributing to the economic growth of cities
worldwide (Rizzi & De La Maza 2017). The transport sector, however, continues to face …

Multi-output bus travel time prediction with convolutional LSTM neural network

NC Petersen, F Rodrigues, FC Pereira - Expert Systems with Applications, 2019 - Elsevier
Accurate and reliable travel time predictions in public transport networks are essential for
delivering an attractive service that is able to compete with other modes of transport in urban …

Machine learning-based traffic prediction models for intelligent transportation systems

A Boukerche, J Wang - Computer Networks, 2020 - Elsevier
Abstract Intelligent Transportation Systems (ITS) have attracted an increasing amount of
attention in recent years. Thanks to the fast development of vehicular computing hardware …

Public transport arrival time prediction based on GTFS data

E Chondrodima, H Georgiou, N Pelekis… - … Conference on Machine …, 2021 - Springer
Public transport (PT) systems are essential to human mobility. PT investments continue to
grow, in order to improve PT services. Accurate PT arrival time prediction (PT-ATP) is vital for …