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Trip Characteristics Inference and Traffic Flow Data Analytics
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Main navigation
About
Partners
Communication Kit
Toolset
Use cases
Trip Characteristics Inference and Traffic Flow Data Analytics
Multi-modal integrated traffic management
Risk-assessment, prediction and forecasting during events
Impact
Synergies
Outreach
News
Newsletters
Publications
Reports & Documents
Events
Main navigation
About
Partners
Communication Kit
Toolset
Use cases
Trip Characteristics Inference and Traffic Flow Data Analytics
Multi-modal integrated traffic management
Risk-assessment, prediction and forecasting during events
Impact
Synergies
Outreach
News
Newsletters
Publications
Reports & Documents
Events
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Home
Publications
MobilityDL: A Review of Deep Learning From Trajectory Data
Mobility Data Science: Perspectives and Challenges
Pythia: Distributed Pattern-based Future Location Prediction of Moving Objects
Path-based traffic flow prediction
Efficient Semantic Similarity Search over Spatio-textual Data
Brussels Mobility Twin
Processing of Spatial-Keyword Range Queries in Apache Spark
Towards eXplainable AI for Mobility Data Science
Towards Mobility Data Science (Vision Paper)