The 3D-environment where you train in can be generic, semi-specific or specific. Our generic environments include urban and rural areas, wildlands, a seaport, an airport, commercial and industrial areas, railways and subways and buildings. Training in a generic environment is well suited for training and assessing general command, control, coordination, and communication objectives. It is also ideal for training with groups of participants from different areas.
A semi-specific environment is a mix between generic and geo-specific elements: like a specific street plan with some generic buildings, or a generic street plan with specific buildings. This is used when you want to train more localized command, control, coordination and communication procedures. For the highest level of localization we offer exact geospecific environments that represent your exact locale. This kind of environment is excellent for preparing emergency response plans, preparing for annual drills, training procedures and logistics, facility orientation and driver training.
In ADMS, incidents can be edited by selecting the situation, hazards, traffic and casualties. In the case of a road traffic accident, you can select the cars and trucks, the people per car, degree of initial injuries, fuel spills, hazardous materials and fires. The simulation blends this together to create a realistic event. The individual intelligent elements respond to and affect each other. When a truck spills ammonia, the ammonia will vaporize and affect people downwind. With a fire incident, you can set select the type and location of the fire and it will grow until it is attacked. The fire will propagate and produce smoke according to the embedded fire simulation models. We have a growing library of incidents and, when needed, we can expand the options that come with each incident.
To train realistically we include vehicles and crews that operate exactly as real world resources. The ADMS vehicles drive in real-time to the incident scene or a staging area following the route selected. Crews execute the real-time actions that you want them to perform, such as search and rescue, investigation, fire fighting, casualty treatment, fire upon hostage takers, block roads, extricate victims trapped in vehicles, etc.
These virtual resources have the same capability as actual resources. For instance, fire trucks have a limited amount of water on board and will run out if they are not connected to a hydrant or fed by other fire trucks. Police establishing a roadblock will take the same time as in the real world, and will cause traffic congestion, and traffic will automatically take unblocked roads as alternate routes. Casualty treatment and transportation takes time as well. And each ambulance will only transport the type and amount of casualties that they can in actual situations.
The virtual people in ADMS act as real people. In the scenarios you can work with responders to help casualties, control bystanders and inform citizens. These people all have built in artificial intelligence. Some examples: Fire Fighters using BA will come out of a building when the air supply is under a certain level. Bystanders can react in different ways like panicking or becoming aggressive, or some might help with the rescue effort. People inside buildings will evacuate when the decision is made to evacuate. Also, casualties’ health responds appropriately to the situation and treatment.