[HTML][HTML] Big trajectory data mining: A survey of methods, applications, and services

D Wang, T Miwa, T Morikawa - Sensors, 2020 - mdpi.com
The increasingly wide usage of smart infrastructure and location-aware terminals has
helped increase the availability of trajectory data with rich spatiotemporal information. The …

A review of big data applications in urban transit systems

K Lu, J Liu, X Zhou, B Han - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Operations, management and planning of urban transit systems have evolved substantially
since the application of transit data collection technologies, such as, automated fare …

Short-term passenger flow prediction under passenger flow control using a dynamic radial basis function network

H Li, Y Wang, X Xu, L Qin, H Zhang - Applied Soft Computing, 2019 - Elsevier
Short-term passenger flow prediction and passenger flow control are essential for managing
congestion in metros. This paper proposes a new dynamic radial basis function (RBF) …

[PDF][PDF] Explainable Bayesian networks applied to transport vulnerability

A De Waal, JW Joubert - Expert Systems with Applications, 2022 - lirias.kuleuven.be
To deal with increasing amounts of data, decision and policymakers frequently turn to
advances in machine learning and artificial intelligence to capitalise on the potential reward …

Understanding passenger route choice behavior under the influence of detailed route information based on smart card data

Z Shi, W Pan, M He, Y Liu - Transportation, 2023 - Springer
Most previous studies explored the route choice behavior of metro passengers using stated
preference (SP) survey data, but the SP data are inevitably subject to endogenous and …

The impacts of COVID-19 on route choice with guidance information in urban rail transit of megacities

X Xu, J Liu, A Zhang, S **eLan, Z Li, J Liu… - … research part A: policy …, 2024 - Elsevier
The outbreak of COVID-19 has caused unprecedented decline of ridership in urban rail
transit and changed passenger travel habits, which greatly challenges subway operations …

[HTML][HTML] Design of wearable EEG devices specialized for passive brain–computer interface applications

S Park, CH Han, CH Im - Sensors, 2020 - mdpi.com
Owing to the increased public interest in passive brain–computer interface (pBCI)
applications, many wearable devices for capturing electroencephalogram (EEG) signals in …