add PtLineDashboard for viz of PtLineAnalysis

src/main/java/org/matsim/dashboards/LausitzDashboardProvider.java

@@ -25,7 +25,8 @@ public List<Dashboard> getDashboards(Config config, SimWrapper simWrapper) {
 			.setAnalysisArgs("--person-filter", "subpopulation=person");
 
 		return List.of(trips,
-			new EmissionsDashboard(config.global().getCoordinateSystem())
+			new EmissionsDashboard(config.global().getCoordinateSystem()),
+			new PtLineDashboard("https://svn.vsp.tu-berlin.de/repos/public-svn/matsim/scenarios/countries/de/lausitz/output/v2024.2/")
 //			the NoiseAnalysis is not run here because it needs more RAM than the entire simulation,
 //			which leads to VM crashes and prevents other analysis to run. We have to run it separately (e.g. with LausitzSimWrapperRunner)
 		);

src/main/java/org/matsim/dashboards/LausitzSimWrapperRunner.java

@@ -66,6 +66,8 @@ public final class LausitzSimWrapperRunner implements MATSimAppCommand {
 	private boolean trips;
 	@CommandLine.Option(names = "--emissions", defaultValue = "false", description = "create emission dashboard")
 	private boolean emissions;
+	@CommandLine.Option(names = "--pt-line-base-dir", description = "create pt line dashboard with base run dir as input")
+	private String baseDir;
 
 
 	public LausitzSimWrapperRunner(){
@@ -75,7 +77,7 @@ public LausitzSimWrapperRunner(){
 	@Override
 	public Integer call() throws Exception {
 
-		if (!noise && !trips && !emissions){
+		if (!noise && !trips && !emissions && baseDir == null){
 			throw new IllegalArgumentException("you have not configured any dashboard to be created! Please use command line parameters!");
 		}
 
@@ -136,6 +138,9 @@ public Integer call() throws Exception {
 				new MatsimVehicleWriter(scenario.getTransitVehicles()).writeFile(transitVehiclesPath);
 			}
 
+			if (baseDir != null) {
+				sw.addDashboard(new PtLineDashboard(baseDir));
+			}
 
 			try {
 				sw.generate(runDirectory, true);

src/main/java/org/matsim/dashboards/PtLineDashboard.java

@@ -0,0 +1,126 @@
+package org.matsim.dashboards;
+
+import org.matsim.run.analysis.PtLineAnalysis;
+import org.matsim.run.scenarios.LausitzScenario;
+import org.matsim.simwrapper.Dashboard;
+import org.matsim.simwrapper.Header;
+import org.matsim.simwrapper.Layout;
+import org.matsim.simwrapper.viz.*;
+import tech.tablesaw.plotly.traces.BarTrace;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * Shows information about an optional policy case, which implements a pt line between Cottbus and Hoyerswerda.
+ * It also compares the agents and their trips using the new pt line with their respective trips in the base case.
+ */
+public class PtLineDashboard implements Dashboard {
+	private final String basePath;
+	private static final String SHARE = "share";
+
+	PtLineDashboard(String basePath) {
+		if (!basePath.endsWith("/")) {
+			basePath += "/";
+		}
+		this.basePath = basePath;
+	}
+
+	@Override
+	public void configure(Header header, Layout layout) {
+		header.title = "Pt Line Dashboard";
+		header.description = "Shows statistics about agents, who used the newly implemented pt line between Cottbus and Hoyerswerda " +
+			"and compares to the trips of those agents in the base case.";
+
+		String[] args = new ArrayList<>(List.of("--base-path", basePath)).toArray(new String[0]);
+
+		layout.row("first")
+			.el(Tile.class, (viz, data) -> {
+			viz.dataset = data.compute(PtLineAnalysis.class, "mean_travel_stats.csv", args);
+			viz.height = 0.1;
+		});
+
+		layout.row("second")
+			.el(Bar.class, (viz, data) -> {
+				viz.title = "Agents per income group";
+				viz.stacked = false;
+				viz.dataset = data.compute(PtLineAnalysis.class, "pt_persons_income_groups.csv", args);
+				viz.x = "incomeGroup";
+				viz.xAxisName = "income group";
+				viz.yAxisName = SHARE;
+				viz.columns = List.of(SHARE);
+			})
+			.el(Bar.class, (viz, data) -> {
+				viz.title = "Mean score per income group";
+				viz.stacked = false;
+				viz.dataset = data.compute(PtLineAnalysis.class, "pt_persons_mean_score_per_income_group.csv", args);
+				viz.x = "incomeGroup";
+				viz.xAxisName = "income group";
+				viz.yAxisName = "mean score";
+				viz.columns = List.of("mean_score_base", "mean_score_policy");
+			})
+			.el(Bar.class, (viz, data) -> {
+				viz.title = "Agents per age group";
+				viz.stacked = false;
+				viz.dataset = data.compute(PtLineAnalysis.class, "pt_persons_age_groups.csv", args);
+				viz.x = "ageGroup";
+				viz.xAxisName = "age group";
+				viz.yAxisName = SHARE;
+				viz.columns = List.of(SHARE);
+		});
+
+		layout.row("third")
+			.el(Plotly.class, (viz, data) -> {
+				viz.title = "Modal split (base case)";
+				viz.description = "Shows mode of agents in base case, which used the new pt line in the policy case.";
+
+				viz.layout = tech.tablesaw.plotly.components.Layout.builder()
+					.barMode(tech.tablesaw.plotly.components.Layout.BarMode.STACK)
+					.build();
+
+				Plotly.DataSet ds = viz.addDataset(data.compute(PtLineAnalysis.class, "pt_persons_base_modal_share.csv", args))
+					.constant("source", "Base Case Mode")
+					.aggregate(List.of("main_mode"), SHARE, Plotly.AggrFunc.SUM);
+
+				viz.mergeDatasets = true;
+				viz.addTrace(BarTrace.builder(Plotly.OBJ_INPUT, Plotly.INPUT).orientation(BarTrace.Orientation.HORIZONTAL).build(),
+					ds.mapping()
+						.name("main_mode")
+						.y("source")
+						.x(SHARE)
+				);
+			})
+			.el(Hexagons.class, (viz, data) -> {
+
+				viz.title = "Pt line agents home locations";
+				viz.center = data.context().getCenter();
+				viz.zoom = data.context().mapZoomLevel;
+				viz.height = 7.5;
+				viz.width = 2.0;
+
+				viz.file = data.compute(PtLineAnalysis.class, "pt_persons_home_locations.csv");
+				viz.projection = LausitzScenario.CRS;
+				viz.addAggregation("home locations", "person", "home_x", "home_y");
+			});
+
+			layout.row("fourth")
+				.el(Table.class, (viz, data) -> {
+					viz.title = "Executed scores";
+					viz.description = "... in base and policy case";
+					viz.dataset = data.compute(PtLineAnalysis.class, "pt_persons_executed_score.csv");
+					viz.showAllRows = true;
+				})
+				.el(Table.class, (viz, data) -> {
+					viz.title = "Travel times";
+					viz.description = "... in base and policy case";
+					viz.dataset = data.compute(PtLineAnalysis.class, "pt_persons_trav_time.csv");
+					viz.showAllRows = true;
+				})
+				.el(Table.class, (viz, data) -> {
+					viz.title = "Travel distances";
+					viz.description = "... in base and policy case";
+					viz.dataset = data.compute(PtLineAnalysis.class, "pt_persons_traveled_distance.csv");
+					viz.showAllRows = true;
+				});
+	}
+}

src/main/java/org/matsim/run/scenarios/LausitzScenario.java

@@ -70,6 +70,7 @@ public class LausitzScenario extends MATSimApplication {
 	public static final String HEAVY_MODE = "truck40t";
 	public static final String MEDIUM_MODE = "truck18t";
 	public static final String LIGHT_MODE = "truck8t";
+	public static final String CRS = "EPSG:25832";
 
 //	To decrypt hbefa input files set MATSIM_DECRYPTION_PASSWORD as environment variable. ask VSP for access.
 	private static final String HBEFA_2020_PATH = "https://svn.vsp.tu-berlin.de/repos/public-svn/3507bb3997e5657ab9da76dbedbb13c9b5991d3e/0e73947443d68f95202b71a156b337f7f71604ae/";