The frequency of natural and man-made disasters has increased over the past few decades,
which has doubled the significance of evacuation planning because it directly affects …

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 …

In the study of pedestrian evacuation dynamics, pedestrian aggressiveness is important to
consider as it potentially impacts evacuation efficiency. A representative example is the …

Predicting evacuation patterns is useful in emergency management situations such as an
earthquake. To find out how pre-trained individuals interact with one another to achieve their …

Cooperative multirobot systems coordinate their motion by exchanging information through
consensus schemes to achieve a common goal. In the event of stealthy cyber attacks …

The role of the leader in the self‐organizing crowd has a significant influence on the crowd
evacuation when an emergency occurs. However, current crowd evacuation models either …

Predicting and controlling crowd dynamics in emergencies is one of the main objectives of
simulated emergency exercises. However, during emergency exercises, there is often a lack …

The steering behavior of autonomous agents in animation and games aims to form agent
movement to navigate around a virtual world. Leader-following behavior is a steering …

Crowd evacuation can be a challenging task, especially in emergency situations involving
dynamically moving hazards. Effective obstacle avoidance is crucial for successful crowd …

One of the most challenging problems during disasters involving crowds is pedestrian
evacuation. It is very important in such situations to improve survival rates by getting all or …