Analysis of human motion data can reveal valuable insights about the utilization of space
and interaction of humans with their environment. To support this, we present AvatAR, an …

Nowadays, the population has been overgrowing due to urbanization, yielding many severe
problems in the urban area, including traffic congestion, unbalanced distribution of urban …

Traffic jams are a significant problem in urban cities that cause pollution and waste fuel,
money, and time. Therefore, there is an urgent need to build tools that enable authorities to …

In the era of big data, the analysis of multi-dimensional time series data is one of the
important topics in many fields such as finance, science, logistics, and engineering. Using …

Social networks are a dominant data source for sharing, participation, and exchanging
information. For example, Twitter is a microblogging site that enables users to express …

As traffic simulation software becomes more effective for realistically simulating and
analyzing traffic dynamics and vehicle interactions on the mesoscopic and microscopic …

Multi-agent systems require coordination among the agents to solve a given task. For
movement on fixed-track networks, traditional scheduling algorithms have dominated so far …

With the MaaS system running, massive amounts of data are generated (such as GPS
trajectory data of moving objects, daily delay data of metros, and ridership data). These data …

The number of traffic accidents in Saudi Arabia is huge, despite all the measures put in
place. The current problem in traffic accidents can be best solved by visualization. It will …

Seabirds have varied movement patterns depending on their group, nesting site, or season.
Therefore, seabird experts need to compare movement data under various conditions for …