2013 Users Group Conference

Fire/EMS ADAM: Extensions

ADAM Hypercube
When incidents within a given area are infrequent, one can assume that the nearest fire apparatus will be always available, in which case, the response times depend upon the characteristics of the travel time—an important assumption made in the Regular ADAM.

In cases, where the incident frequency is very high, apparatus availability becomes a critical issue. Hypercube ADAM (HPC ADAM) is modeled to account for both availability and response time targets. The HPC ADAM uses spatial queuing theory to estimate the probability that each of the servers (in this case, the fire apparatus) is busy as based on incident frequency within a given zone along with the average time it takes the server to “fight the fire”. Availability values also indicate the workload distribution among the different servers. If certain servers have low availabilities and others have high availabilities, then redistributing servers would not only balance the workload but also would improve the response times in the higher workload areas. In addition, using availability values in calculating performance characteristics yields results more closely aligned with real-time, real world response.