Many cities and countries are now striving to create intelligent transportation systems that
utilize the current abundance of multisource and multiform data related to the functionality …

Along with the increase of big data and the advancement of technologies, comprehensive
data-driven knowledge of urban systems is becoming more attainable, yet the connection …

We propose TrajGraph, a new visual analytics method, for studying urban mobility patterns
by integrating graph modeling and visual analysis with taxi trajectory data. A special graph is …

Origin-destination (OD) movement data describe moves or trips between spatial locations by
specifying the origins, destinations, start, and end times, but not the routes travelled. For …

We propose Hashedcubes, a data structure that enables real-time visual exploration of large
datasets that improves the state of the art by virtue of its low memory requirements, low …

Deep understanding of residents' travel patterns would provide helpful insights into the
mechanisms of many socioeconomic phenomena. With the rapid development of location …

In the era of big data, mining data instead of collecting data are a new challenge for
researchers and engineers. In the field of transportation, extracting traffic dynamics from …

Taxi is a core component of urban transit systems. Since they can provide more time-saving
and convenient service than many other transit options, taxis have a certain passenger …

Locating the bottlenecks in cities where traffic congestion usually occurs is essential prior to
solving congestion problems. Therefore, this paper proposes a low-frequency probe vehicle …

Congestion-free movement of traffic during peak hours in urban areas is rarely witnessed
nowadays. Several factors are responsible for traffic congestion, and a large amount of …