Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …

With the recent increase in urban drift, which has led to an unprecedented surge in urban
population, the smart city (SC) transportation industry faces a myriad of challenges …

Traffic congestion is becoming the issues of the entire globe. This study aims to explore and
review the data mining and machine learning technologies adopted in research and industry …

Point-of-interest (POI) recommendation, which helps mobile users explore new places, has
become an important location-based service. Existing approaches for POI recommendation …

We live in a complex world characterised by complex people, complex times, and complex
social, technological, economic, and ecological environments. The broad aim of our work is …

In order to achieve holistic urban plans incorporating transport infrastructure, public space
and the behavior of people in these spaces, integration of urban design and computer …

The development requirements of shared buses are extremely urgent to alleviate urban
traffic congestions by improving road resource utilization and to provide a neotype …

Learning urban community structures refers to the efforts of quantifying, summarizing, and
representing an urban community's (i) static structures, eg, Point-Of-Interests (POIs) …

Abstract Intelligent Transportation Systems (ITS) applications in public transportation have
allowed for automated data collection, which is particularly useful for planning and …

Massive data collected by automated fare collection (AFC) systems provide opportunities for
studying both personal traveling behaviors and collective mobility patterns in the urban area …