Research Article
Cooperative Hypercube Queuing Model for Emergency Service Systems
Table 3
System performance results from the CHQ model and the Arena simulation software in Wuhan case.
| System performance | CHQ model | Arena simulation | Difference (%) |
| Call lost probability | Type 1 | 0.005 | 0.000385 | 0.46 | Type 2 | 0.08 | 0.052797 | 2.72 | Type 3 | 0.026 | 0.030193 | 0.42 |
| Workload | V1 | 0.221 | 0.232246 | 1.12 | V2 | 0.143 | 0.148918 | 0.59 | V3 | 0.056 | 0.07391 | 1.79 | V4 | 0.024 | 0.023217 | 0.08 |
| Dispatch frequency | V1 to j1 | 0.203 | 0.212726 | 0.97 | V3 to j1 | 0.052 | 0.047627 | 0.44 | V1 to j2 | 0.422 | 0.436617 | 1.46 | V2 to j2 | 0.48 | 0.505857 | 2.59 | V3 to j2 | 0.057 | 0.06924 | 1.22 | V1 to j3 | 0.002 | 0.004015 | 0.20 | V2 to j3 | 0.154 | 0.150415 | 0.36 | V3 to j3 | 0.152 | 0.1464 | 0.56 | V4 to j3 | 0.154 | 0.150415 | 0.36 |
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