Match the items in Group-I with the most appropriate stages of travel demand modelling in Group-II.
\[\begin{array}{|c|c|} \hline \textbf{Group I} & \textbf{Group II} \\ \hline (P)\ \text{US-EPA's MOVES} & (1)\ \text{Trip Assignment} \\ (Q)\ \text{Fratar Model} & (2)\ \text{Trip Production} \\ (R)\ \text{Growth Factor Model} & (3)\ \text{Trip Distribution} \\ (S)\ \text{User Equilibrium} & (4)\ \text{Mobile source emission estimation} \\ & (5)\ \text{Destination Choice} \\ \hline \end{array} \]
Step 1: US-EPA's MOVES.
MOVES (Motor Vehicle Emission Simulator) from US-EPA is utilized for estimating emissions from mobile sources. \[P \Rightarrow 4\]
Step 2: Fratar Model.
The Fratar model is employed in Trip Distribution to update future OD (Origin-Destination) matrices using growth factors. \[Q \Rightarrow 3\]
Step 3: Growth Factor Model.
Growth factor models forecast future trips by projecting current traffic volumes based on socioeconomic data, which is part of Trip Production. \[R \Rightarrow 2\]
Step 4: User Equilibrium.
The user equilibrium principle (Wardrop's principle) is applied in traffic assignment, stipulating that no driver can shorten travel time by altering their route, thus relating to Trip Assignment. \[S \Rightarrow 1\] \[\boxed{P-4, \ Q-3, \ R-2, \ S-1}\]