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Commit 794b425f authored by Benedikt Kleinmeier's avatar Benedikt Kleinmeier

Removed source and target from "03-Marienplatz-Evacuation.scenario" and write...

Removed source and target from "03-Marienplatz-Evacuation.scenario" and write "Note:" in bold letters in "README.md"
parent fe6dd453
Pipeline #264880 passed with stages
in 59 minutes and 15 seconds
......@@ -31,12 +31,12 @@ Get familiar with Vadere - its features and its limitions.
We prepared four small examples:
1. Get started in the first example and compare two different locomotion models in Vadere.
1. Get started with the first example and compare two different locomotion models in Vadere.
* **Used scenarios:**
- 01-MinimalExample-OptimalStepsModel
- 01-MinimalExample-GradientNavigationModel
* **Steps:**
1. Get familiar with the GUI.
1. Get familiar with the GUI (i.e., input files, output files, toolbar, ...).
2. Compare different locomotion models by running both simlations.
3. Compare both simulations in the PosVis (see `Output files` section in the GUI)
- How do the trajectories differ between OSM and GNM?
......@@ -46,14 +46,14 @@ We prepared four small examples:
* **Steps:**
1. GUI: `Data output`.
2. Add a density processor (recommended: `PedestrianDensityCountingProcessor` with a `radius` of 1.5 [m]) to measure the density in each timestep for each pedestrian.
3. Add a file to write the density information to (select `TimestepPedestrianIdKey` as `Data Key and the output processor from (2)`).
4. Analyze output files: What is the max. observed density value? Note: Vadere stores the output to `path/to/project/output/<scenario_run>` (in GUI: Right-click on an output in the `Output files` panel and then `Copy output path to clipboard`)
3. Estimate how long it takes to evacuate 500 agents from Marienplatz and check your estimation against a simulation. Note: you may also increase the number of agents, but depending on your hardware the simulation may take a while.
3. Add a file to write the density information to (select `TimestepPedestrianIdKey` as `Data Key` and the output processor from (2)).
4. Analyze output files: What is the max. observed density value? **Note:** Vadere stores the output to `path/to/project/output/<scenario_run>` (in GUI: Right-click on an output in the `Output files` panel and then `Copy output path to clipboard`)
3. Estimate how long it takes to evacuate 500 agents from Marienplatz and check your estimation against a simulation. **Note:** you may also increase the number of agents, but depending on your hardware the simulation may take a while.
* **Used scenario:** 03-Marienplatz-Evacuation
* **Steps:**
1. What is a reasonable location and shape for source(s)?
2. Place single or multiple targets? Note: Make sure all targets have the same Id and are set in the `source` JSON field `targetIds`.
2. Place single or multiple targets to get a realistic simulation? **Note:** Make sure all targets have the same Id and the target id is used in the source(s) (field `targetIds`).
3. How fast should the agents run? (`Topography -> attributesPedestrian -> [speedDistributionMean | speedDistributionStandardDeviation]`)
4. Use the `PedestrianEvacuationTimeProcessor` to measure the evacuation time per pedestrian. What is the maximum and mean evacuation time? Note: Select `PedestrianIdKey` as `Data Key` for the corresponding output file.
4. Use the `PedestrianEvacuationTimeProcessor` to measure the evacuation time per pedestrian. What is the maximum and mean evacuation time? **Note:** Select `PedestrianIdKey` as `Data Key` for the corresponding output file.
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......@@ -2301,48 +2301,10 @@
} ],
"measurementAreas" : [ ],
"stairs" : [ ],
"targets" : [ {
"id" : 1,
"absorbing" : true,
"shape" : {
"x" : 352.3,
"y" : 9.0,
"width" : 30.3,
"height" : 27.1,
"type" : "RECTANGLE"
},
"waitingTime" : 0.0,
"waitingTimeYellowPhase" : 0.0,
"parallelWaiters" : 0,
"individualWaiting" : true,
"deletionDistance" : 0.1,
"startingWithRedLight" : false,
"nextSpeed" : -1.0
} ],
"targets" : [ ],
"targetChangers" : [ ],
"absorbingAreas" : [ ],
"sources" : [ {
"id" : 145,
"shape" : {
"x" : 119.2,
"y" : 197.8,
"width" : 29.8,
"height" : 22.4,
"type" : "RECTANGLE"
},
"interSpawnTimeDistribution" : "org.vadere.state.scenario.ConstantDistribution",
"distributionParameters" : [ 1.0 ],
"spawnNumber" : 500,
"maxSpawnNumberTotal" : -1,
"startTime" : 0.0,
"endTime" : 0.0,
"spawnAtRandomPositions" : true,
"spawnAtGridPositionsCA" : false,
"useFreeSpaceOnly" : false,
"targetIds" : [ 1 ],
"groupSizeDistribution" : [ 1.0 ],
"dynamicElementType" : "PEDESTRIAN"
} ],
"sources" : [ ],
"dynamicElements" : [ ],
"attributesPedestrian" : {
"radius" : 0.195,
......
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