Transportation mode detection through spatial attention-based transductive long short-term memory and off-policy feature selection
M Merikhipour, S Khanmohammadidoustani… - Expert Systems with …, 2025 - Elsevier
With mobile internet technology improving quickly, smartphones with many sensors have
become increasingly popular for detecting transportation modes. Transportation modes are …
become increasingly popular for detecting transportation modes. Transportation modes are …
[HTML][HTML] Usage-aware representation learning for critical information identification in transportation networks
Extracting meaningful information from noisy high-dimensional data is attracting increasing
attention as richer and higher resolution data is being collected and used for transportation …
attention as richer and higher resolution data is being collected and used for transportation …
[HTML][HTML] Enhancing transport mode classification benchmark by integrating spatial independence with multimodal dataset
The transport network is a complex system that benefits from detailed data on user mobility.
Analyzing user trajectories through clustering or classification methods can provide valuable …
Analyzing user trajectories through clustering or classification methods can provide valuable …
A Regional Trip Modes Classification Methodology Using Mobile Phone Data
K Kim, H Han, D Kim, T jin Song - … Journal of The Korea Institute of …, 2024 - koreascience.kr
The recent development of data collection technology, which conveys various travel data in
real-world such as mobile data and probe vehicle data, facilitates transportation planners …
real-world such as mobile data and probe vehicle data, facilitates transportation planners …
[PDF][PDF] Travel Behaviour and Society
M Erdelic, T Caric, T Erdelic, I Šemanjski - researchgate.net
The transport network is a complex system that benefits from detailed data on user mobility.
Analyzing user trajectories through clustering or classification methods can provide valuable …
Analyzing user trajectories through clustering or classification methods can provide valuable …