Article ID: | iaor19911350 |
Country: | United States |
Volume: | 116 |
Issue: | 5 |
Start Page Number: | 189 |
End Page Number: | 195 |
Publication Date: | Sep 1990 |
Journal: | Journal of Transportation Engineering (ASCE) |
Authors: | Chang Gang-Leu, Kanaan Ammar. |
The presence of high variability in traffic simulation results often leads to concern about their reliability, and consequently precludes a rigorous evaluation of the target traffic system’s performance under various control strategies. Thus arises the need to assess the variability of key output parameters of interest, generally represented by the confidence interval. Since the operating characteristics of congested traffic flows yielded by a simulation program are a set of correlated sample observations, the conventional approach for computing confidence intervals via an approximate