Estimating count and density maps from crowd images has a wide range of applications
such as video surveillance, traffic monitoring, public safety and urban planning. In addition …

Although intelligent agent-based systems have existed for several years, the progression in
terms of real applications or their integration in the industry have not yet reached the …

Deep reinforcement learning (DRL) has been proved to be more suitable than reinforcement
learning for path planning in large-scale scenarios. In order to more effectively complete the …

The integrated use of building information modeling (BIM) and geographic information
system (GIS) is promising for the development of asset management systems (AMSs) for …

Every year, a considerably large number of disasters occur as a result of natural events or
human faults. In order to decrease the damage and casualties associated with each …

As a global problem, the terrorism leads to high death tolls each year. During terrorist
attacks, the direct death is caused by terrorists attacking civilians. However, indirect death …

Emergency evacuation plans and evacuation drills are mandatory in public buildings in
many countries. Their importance is considerable when it comes to guarantee safety and …

Serious Games are increasingly used as a training and educational tool. Fire keeps claiming
a high number of victims. Some authors allege failures during the evacuation process as the …

Pedestrian counting from unconstrained images is an important task in various applications
such as resource management, transportation engineering, urban design, and advertising …

During a fire emergency, most people tend to panic and head towards a known exit that is
not necessarily the best option. Therefore, a system that dynamically directs people to the …