\emph{Model the game in UPPAAL model and show how to find solutions. Make sure
you can solve at least the following positions:}
+\subsection{model}
+Our model can be found in \tt{2.xml} and traces for solving the intermediate
+puzzle,
+the hard puzzle and the second puzzle from the provided website can be found
+in \tt{2intermediateTrace.xtr, 2hardTrace.xtr} and \tt{2website2Trace.xtr}
+respectively.
+
+Our model is centered around a global state \tt{bool grid[6][6]} which tracks
+for each square if part of a car is on it or not. There is a player which starts
+the game and stops the game when the red car is at the exit. The player starts
+the game if all cars have registered their presence on the grid.
+
+Cars are modeled as either vertical or horizontal variants. Both behave exactly
+the same, apart from the obvious difference that horizontal cars move along the
+x-axis, while vertical cars move along the y-axis. From their start state cars
+first register themselves on the grid and sync on a \tt{reg!}. The player
+counts these \tt{reg}s and broadcasts \tt{start!} as all cars have registered.
+Cars then non-deterministically move either up/right or down/left.
+
+The red car is a special case of a horizontal car, which always runs on the
+fourth row and syncs \tt{finish!} when it is at the exit.
+
+\subsection{results}
+Our model is quite fast in solving the provided puzzles. It can solve the
+intermediate and hard puzzles from the exercise and the second puzzle from the
+website, the first puzzle however can not be solved by our model.
+
+\begin{tabular}{l | r r }
+ \hline
+ intermediate & ±5 seconds & 78 mb\\
+ hard & ±0.1 seconds & 50 mb\\
+ website 1 & \multicolumn{2}{c}{Not solvable}\\
+ website 2 & ±0.2 seconds & 50 mb\\
+ \hline
+\end{tabular}
+
+It might seem unexpected that the intermediate result runs (considerably)
+slower than the two harder challenges. The exact reason for this is unknown to
+us, however it might be because the intermediate challenge has considerably
+more cars than the other two challenges (13 vs. 7 and 9). This means that the
+state space of possible moves and possible car positions is much larger in the
+the intermediate example. Since our model does not contain any
+heuristics, thus cars move non-deterministically, the intermediate challenge has
+a lot more possible moves.
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