Spatial layout planning in architecture requires a deep understanding of topological spatial
relationships, yet the process remains repetitive and laborious for designers. However …

Trajectory prediction has been widely pursued in many fields, and many model-based and
model-free methods have been explored. The former include rule-based, geometric or …

Numerous research efforts have been conducted to simulate the crowd movements, while
relatively few of them are specifically focused on multihazard situations. In this paper, we …

The real‐time simulation of human crowds has many applications. Simulating how the
people in a crowd move through an environment is an active and ever‐growing research …

Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. On
one hand, visualization can facilitate humans in data understanding through intuitive visual …

Simulating crowds with realistic behaviors is a difficult but very important task for a variety of
applications. Quantifying how a person balances between different conflicting criteria such …

Diversity among agents' behaviors and heterogeneity in virtual crowds in general, is an
important aspect of crowd simulation as it is crucial to the perceived realism and plausibility …

Interactive multi-agent simulation algorithms are used to compute the trajectories and
behaviors of different entities in virtual reality scenarios. However, current methods involve …

Crowd simulation holds crucial applications in various domains, such as urban planning,
architectural design, and traffic arrangement. In recent years, physics-informed machine …

Data-driven crowd modeling has now become a popular and effective approach for
generating realistic crowd simulation and has been applied to a range of applications, such …