Added analysis of evacuation time (of real data) to "TrajectoryMetric.ipynb".

Tools/Notebooks/TrajectoryMetric.ipynb

@@ -178,7 +178,59 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Helpler method to access parts of the trajectory"
+    "# Calculate evacution time"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Evacuation time = endTime - startTime"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Real data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Sum up all measured time deltas of a pedestrian to get the final evacuation time\n",
+    "trajectoriesReal[\"timeDelta\"] = trajectoriesReal[\"endTime\"] - trajectoriesReal[\"startTime\"]\n",
+    "evacuation_time = trajectoriesReal.groupby([\"pedestrianId\"])[\"timeDelta\"].sum()\n",
+    "\n",
+    "print(\"Evacuation time (real data)\")\n",
+    "print(\"- mean: {:.2f} [s]\".format(evacuation_time.mean()))\n",
+    "print(\"- std: {:.2f} [s]\".format(evacuation_time.std()))\n",
+    "print(\"- min: {:.2f} [s]\".format(evacuation_time.min()))\n",
+    "print(\"- max: {:.2f} [s]\".format(evacuation_time.max()))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Simulation data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "TODO: Use `PedestrianEvacuationTimeProcessor` to log evacuation time during simulation and analyze it here."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Helper method to access parts of the trajectory"
    ]
   },
   {
@@ -551,41 +603,6 @@
     "pd.DataFrame([[1,2,3,4,5],[6,7,8,9,10]], columns=['pedestrianId','timeStep','x','y','time'])"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -594,22 +611,6 @@
    "source": [
     "to_postVis(data)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "1 in [1,2,3]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -628,7 +629,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.6.7"
   }
  },
  "nbformat": 4,