Passenger flow forecasting approaches for urban rail transit: a survey

Q Xue, W Zhang, M Ding, X Yang, J Wu… - International Journal of …, 2023 - Taylor & Francis
Passenger flow forecast is the prerequisite and foundation for urban rail transit planning and
operation. With the continuous expansion of rail network scale and the surge of passenger …

Graph transformer embedded deep learning for short-term passenger flow prediction in urban rail transit systems: A multi-gate mixture-of-experts model

S Hu, J Chen, W Zhang, G Liu, X Chang - Information Sciences, 2024 - Elsevier
Urban rail transit (URT) plays a crucial role in mitigating urban traffic congestion by offering
faster and higher-quality travel services. Short-term passenger flow predictions have …

[HTML][HTML] Video-based automatic people counting for public transport: On-bus versus off-bus deployment

C McCarthy, H Ghaderi, F Martí, P Jayaraman… - Computers in Industry, 2025 - Elsevier
Abstract Interest in Automatic People Counting (APC) for crowd detection and management
is rapidly growing. While a range of Internet of Things (IoT) sensors and systems exist, video …

TLQP: Early-stage transportation lock-down and quarantine problem

Y Ding, S Wandelt, X Sun - Transportation Research Part C: Emerging …, 2021 - Elsevier
The advent of COVID-19 is a sensible reminder of the vulnerability of our society to
pandemics. We need to be better prepared for finding ways to stem such outbreaks. Except …

Machine learning in urban rail transit systems: a survey

L Zhu, C Chen, H Wang, FR Yu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Urban Rail Transit Systems (URTS) have increasingly become the backbone of modern
public transportation, attributed to their unparalleled convenience, high efficiency, and …

Stabilized adaptive sampling control for reliable real-time learning-based surveillance systems

D Kim, S Park, J Kim, JY Bang… - … of Communications and …, 2021 - ieeexplore.ieee.org
In modern security systems such as CCTV-based surveillance applications, real-time deep-
learning based computer vision algorithms are actively utilized for always-on automated …

[HTML][HTML] Mixed fleets of automated and human-driven vehicles in public transport systems: An evaluation of feeder line services

C Sipetas, C Roncoli, M Mladenović - Transportation Research …, 2023 - Elsevier
This study focuses on the transitioning period of operating mixed fleets of both automated
and human-driven vehicles for public transit services. The type of service investigated here …

Prevention and control of COVID-19 in subway stations: An optimization strategy for placing location QR codes

S Dong, F Chen, W Ding, J Zhou - Tunnelling And Underground Space …, 2022 - Elsevier
The outbreak of COVID-19 has had a significant impact on passengers' travel. To study the
layout of prevention and control facilities in subway stations under the influence of the …

Sensing Multi-modal Mobility Patterns: A Case Study of Helsinki using Bluetooth Beacons and a Mobile Application

Z Huang, AEM de Villafranca… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Detailed understanding of multi-modal mobility patterns within urban areas is crucial for
public infrastructure planning, transportation management, and designing public transport …

An Unsupervised Learning Approach for Robust Denied Boarding Probability Estimation Using Smart Card and Operation Data in Urban Railways

KS Tuncel, HN Koutsopoulos… - IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Urban railway systems in many cities are facing increasing levels of crowding and operating
near capacity. Crowding at stations and on trains is a concern due to its impact on safety …