This literature review aims for a holistic overview of Artificial Intelligence (AI) applications in
the railway industry. Our research covers specifically the subdomain of railway maintenance …

As a critical task of the urban traffic services, fine-grained urban flow inference (FUFI)
benefits in many fields including intelligent transportation management, urban planning …

As a developing trend of urbanization, massive amounts of urban statistical data with
multiple views (eg, views of Population and Economy) are increasingly collected and …

Urban flow prediction is critical for urban planning, management, and safety. However,
owing to the inherent instability of urban flows, prediction accuracy requires the fusion of …

For incomplete data classification, missing attribute values are often estimated by imputation
methods before building classifiers. The estimated attribute values are not actual attribute …

Graph-based change point detection (CPD) plays an irreplaceable role in discovering
anomalous graphs in a time-varying network. While several techniques have been proposed …

Recently, practical applications for passenger flow prediction have brought many benefits to
urban transportation development. With the development of urbanization, a real-world …

Many real-world problems deal with collections of data with missing values, eg, RNA
sequential analytics, image completion, video processing, etc. Usually, such missing data is …

Robust urban flow prediction is crucial for transportation planning and management in urban
areas. Although recent advances in modeling spatio-temporal correlations have shown …

With the explosive growth of the shared information on social media platforms, people are
increasingly interested in sharing and making their travel plans by referring to others' travel …