A multi-stage fusion network for transportation mode identification with varied scale representation of GPS trajectories

Y Ma, X Guan, J Cao, H Wu - Transportation Research Part C: Emerging …, 2023 - Elsevier
Accurate transportation mode identification is essential for traffic management and travel
planning. The rapid development of GPS-enabled devices has made it both popular and …

Toward low-burden travel survey: Identifying travel modes from GPS tracks fusing individual histories and enumerated annotations

J Zeng, Y Huang, M Zhang, W Yao, S Jin… - … Research Part C …, 2025 - Elsevier
GPS-based travel surveys, coupled with automatic Travel Mode Identification (TMI)
techniques, have emerged as effective tools for capturing travel details while reducing …

Post-disaster traffic micro-circulation system design for traffic distribution optimization

X Gao, Y Ci, L Zhang, L Wu - Transportation Research …, 2024 - journals.sagepub.com
Aiming at the problem of a substantial decrease in the traffic-carrying capacity of the road
network caused by the breakage of the main roads after the disaster, this study constructs a …

DERNet: driver emotion recognition using onboard camera

D Wang, S Jia, X Pei, C Han, D Yao… - IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Driver emotion is considered an essential factor associated with driving behaviors and thus
influences traffic safety. Dynamically and accurately recognizing the emotions of drivers …

[HTML][HTML] Self-supervised multi-task learning framework for safety and health-oriented road environment surveillance based on connected vehicle visual perception

S Jia, W Yao - International Journal of Applied Earth Observation and …, 2024 - Elsevier
Cutting-edge connected vehicle (CV) technologies have drawn much attention in recent
years. The real-time traffic data captured by a CV can be shared with other CVs and data …

Multimodal geometric AutoEncoder (MGAE) for rail fasteners tightness evaluation with point clouds & monocular depth fusion

S Qiu, Q Zaheer, SMAH Shah, SFH Shah, H Ehsan… - Measurement, 2024 - Elsevier
Accurate detection and estimation of railway fastener tightness are vital for rail infrastructure
safety and reliability. Traditional methods depend on manual annotation tools like Label Me …

Travel Mode Identification for Non-Uniform Passive Mobile Phone Data

J Zeng, Y Huang, G Zhang, Z Cai… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The collection of individual GPS data, as a substitute for traditional travel surveys, is
hindered by low response rates and high costs. Meanwhile, passive mobile phone data …

POPAyI: Muscling Ordinal Patterns for low-complex and usability-aware transportation mode detection

I Cardoso-Pereira, JB Borges, AC Viana… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Detecting transportation modes' usability in spatiotemporal urban trajectories can provide
valuable insights into the mobility preferences of urban populations, helping epidemic …

A deep semi-supervised machine learning algorithm for detecting transportation modes based on GPS tracking data

P Sadeghian, A Golshan, MX Zhao, J Håkansson - Transportation, 2024 - Springer
Transportation research has benefited from GPS tracking devices since a higher volume of
data can be acquired. Trip information such as travel speed, time, and most visited locations …

CCDepth: A Lightweight Self-supervised Depth Estimation Network with Enhanced Interpretability

X Zhang, Y Xue, S Jia, X Pei - arXiv preprint arXiv:2409.19933, 2024 - arxiv.org
Self-supervised depth estimation, which solely requires monocular image sequence as
input, has become increasingly popular and promising in recent years. Current research …