Module 3 : Microscopic Traffic Flow Modeling
Lecture 16 : Microscopic Traffic Simulation
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Model Verification

Following de-bugging, verification is a structured regimen to provide assurance that the software performs as intended. Since simulation models are primarily logical constructs, rather than computational ones, the analyst must perform detailed logical path analyses. When completed, the model developer should be convinced that the model is performing in accord with expectations over its entire domain of application.

Model Validation

Validation is the process to determine whether the simulation model is an accurate representation of the system under study. This establishes that the model behaviour accurately and reliably represents the real-world system being simulated, over the range of conditions anticipated and it involves the following major steps.
  1. Acquiring and formatting real world data
  2. Establishing the validation criteria - Hypotheses, Statistical tests etc.
  3. Experimental design for validation including a variety of scenarios
  4. Perform validation study
  5. Identify the causes of failure if any and repair the model accordingly
The methodological scheme for validation is shown in the following Figure 1.
Figure 1: Methodological scheme for validation
\includegraphics[width = 14 cm]{qfmethodologyscheme}