Urban mobility pattern recognition has great potential in revealing human travel mechanism,
discovering passenger travel purpose, and predicting and managing traffic demand. This …

Passenger travel pattern analysis is essential for the design and development of public
transport network. Nowadays, Automated Fare Collection (AFC) systems are widely …

Massive flows that represent the individual level of movements and communications can be
easily obtained in the age of big data. Generalizing spatial and temporal flow patterns from …

Commuting pattern is one of the most important travel patterns on the road network; the
analysis of commuting pattern can provide support for public transport system optimization …

This study examines the potential of using smart card data in public transit systems to infer
attributes of travelers, thereby facilitating a more user-centered public transport service …

This paper presents a spatio-temporal trajectory clustering method for vehicle trajectories in
transportation networks to identify heterogeneous trip patterns and explore underlying …

This paper focuses on support vector machine (SVM) based trip chain's activity type
recognition. First, the time-series location information of person trip is processed to obtain …

Transport mode identification (TMI), which infers the travel modes of user trajectories, is
essential to facilitate an understanding of urban mobility patterns and passengers' choice …

Identifying commuting patterns for an urban network is important for various traffic
applications (eg, traffic demand management). Some studies, such as the gravity models …

City management plays an important role in the era of urbanization. Understanding city
regions and urban mobility patterns are two vital aspects of city management. Numerous …