Emergency evacuation planning for mass gatherings is essential public safety and security work for authorities and can help save lives. Imran Mahmood and Muhammad Haris of the National University of Sciences and Technology, Pakistan, and Hessam Sarjoughian of Arizona State University, USA, have used an AnyLogic based crowd simulation and analysis framework to analyze emergency evacuation strategies for one of the world’s greatest mass gatherings: Hajj.
In this blog post, we take a look inside an AnyLogic air maintenance model and reveal how it works. The aim is to improve your skills in the development and analysis of models, to teach AnyLogic's advanced capabilities, and also to show how simulation modeling is applied in different areas of business. Using the Airlines Fleet model as an example, we will look at how agent-based modeling helps to analyze and plan maintenance.
It is estimated that 1.5 million foreign football fans will visit the 2018 FIFA World Cup in Russia this July, with games taking place at 12 stadiums in cities from the Baltic to the Urals. How can their travel be managed smoothly?
A video full of AnyLogic tips and tricks to get the most from the simulation modeling software. Benjamin Schumann shares his expertise in using AnyLogic to help users develop simulation models effectively and efficiently.
Just eighteen years from now, 7.8 billion passengers will be taking to the skies annually. How best to increase passenger capacity at airports? Airport simulation is an important tool for testing, development, and operational management. Here we look at several real-world examples of simulation working for airports...
Get inside the model! In this post, we will look at the technical features of the example Border Checkpoint model: what it consists of, how it works, and what methods were used in its development. Learn tips and tricks as you go through the model step by step with our expert...
New releases of AnyLogic come with new example models. These help newcomers understand simulations and experienced users to learn about AnyLogic’s advanced capabilities. New to AnyLogic is our Border Checkpoint model. It is based on the same principles as classical queueing systems, such as those found in banks, shops, and medical centers. In this post, we show how to model and analyze a variety of these business problems using the new border crossing model.