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Crowd safety at Hajj – Simulation modeling


Crowd safety at Hajj – Simulation modeling

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.

Model Overview – Customer Service at a Border Crossing


Model Overview – Customer Service at a Border Crossing

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.

Optimal Aircraft Boarding Strategy


Optimal Aircraft Boarding Strategy

To increase profit, airlines seek to minimize turnaround time. Turnaround time is attributed to multiple factors, disembarkation, baggage unloading, refueling, cargo unloading, aircraft maintenance, cargo and baggage loading and passenger boarding. A group in the Science and Engineering Faculty at Queensland University of Technology in Brisbane, Australia completed a project using AnyLogic software to investigate the turnaround time for aircraft passenger boarding using AnyLogic simulation software. The recently published paper studied seven common boarding strategies and two new suggested strategies to find the optimal boarding methods for a Boeing 777 and Airbus 380. They considered behavior of groups traveling together, and individuals storing luggage as part of the simulation model.

Disaster Management Aid Simulation


Disaster Management Aid Simulation

In the wake of a disaster, natural or otherwise, a power outage can cause residual damage and hardships. To reduce the length of power outages, utility companies often have mutual aid agreements in place. Mutual aid agreements provide a mechanism to acquire emergency assistance quickly in the form of materials, equipment, personnel and other relevant services. There are many factors that drive the deployment of assistance during a disaster (i.e. distance, urgency, cost, extent of damage, etc.) To help utility companies make better, faster decisions, York University applied simulation modeling with AnyLogic software to manage the process of mutual assistance. Learn more via the case study or recorded presentations from AnyLogic Conference 2015.

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