Innovative applications of big data in the railway industry
Innovative applications of big data in the railway industry
Predicting real-time surge pricing of ride-sourcing companies
Exploring the relationship between bike-sharing and public transport in Poznań, Poland
From compound word to metropolitan station: Semantic similarity analysis using smart card data
Time series analysis methods and applications for flight data
An evaluation framework for traffic information systems based on data streams
Sequence‐to‐sequence transfer transformer network for automatic flight plan generation
Understanding the bike sharing travel demand and cycle lane network: The case of Shanghai
Origin–destination trips by purpose and time of day inferred from mobile phone data
A knowledge discovery cycle for monitoring mobile cyber-physical systems
A knowledge discovery cycle for monitoring mobile cyber-physical systems
Predicting future locations of moving objects with deep fuzzy-LSTM networks
Inferring trip purpose by clustering sequences of smart card records
Association rule learning to improve deficiency inspection in port state control
Using data mining techniques to predict the severity of bicycle crashes