A multi-stage fusion network for transportation mode identification with varied scale representation of GPS trajectories
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 …
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 …
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 …
network caused by the breakage of the main roads after the disaster, this study constructs a …
DERNet: driver emotion recognition using onboard camera
Driver emotion is considered an essential factor associated with driving behaviors and thus
influences traffic safety. Dynamically and accurately recognizing the emotions of drivers …
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
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 …
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
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 …
safety and reliability. Traditional methods depend on manual annotation tools like Label Me …
Travel Mode Identification for Non-Uniform Passive Mobile Phone Data
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 …
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 …
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
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 …
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
Self-supervised depth estimation, which solely requires monocular image sequence as
input, has become increasingly popular and promising in recent years. Current research …
input, has become increasingly popular and promising in recent years. Current research …