a method to assign AVs and change initial plans to use AVs if available

to the agent

src/main/java/ch/ethz/matsim/projects/astra_2018_002/RunASTRA2018002.java

@@ -18,6 +18,7 @@ import ch.ethz.matsim.baseline_scenario.transit.BaselineTransitModule;
 import ch.ethz.matsim.baseline_scenario.transit.routing.DefaultEnrichedTransitRoute;
 import ch.ethz.matsim.baseline_scenario.transit.routing.DefaultEnrichedTransitRouteFactory;
 import ch.ethz.matsim.projects.astra_2018_002.av.AVConfigurator;
+import ch.ethz.matsim.projects.astra_2018_002.av.AssignPrivatAVs;
 import ch.ethz.matsim.projects.astra_2018_002.av.operating_area.OperatingAreaModule;
 import ch.ethz.matsim.projects.astra_2018_002.av.operator.OperatorModule;
 import ch.ethz.matsim.projects.astra_2018_002.flow_efficiency.FlowEfficiencyConfigurator;
@@ -28,14 +29,16 @@ import ch.sbb.matsim.routing.pt.raptor.SwissRailRaptorModule;
 
 public class RunASTRA2018002 {
 	static public void main(String[] args) throws ConfigurationException {
-		CommandLine cmd = new CommandLine.Builder(args) //
+		 CommandLine cmd = new CommandLine.Builder(args) //
 				.requireOptions("config-path", "model") //
 				.allowOptions("use-route-choice", "use-only-significant", "operator-path") //
 				.build();
-
+		
 		// Load config
-		Config config = ConfigUtils.loadConfig(cmd.getOptionStrict("config-path"), new DvrpConfigGroup(),
-				new AVConfigGroup());
+				
+		 Config config = ConfigUtils.loadConfig(cmd.getOptionStrict("config-path"), new DvrpConfigGroup(),
+				new AVConfigGroup()); 
+			
 
 		// Adjust config
 		SwissModeChoiceConfigurator.configure(config);
@@ -52,6 +55,7 @@ public class RunASTRA2018002 {
 
 		// Adjust scenario
 		SwissModeChoiceConfigurator.copyHousholdAttributes(scenario);
+		//AssignPrivatAVs.main(scenario);
 		FlowEfficiencyConfigurator.defineVehicleTypes(scenario);
 
 		// Set up controller

src/main/java/ch/ethz/matsim/projects/astra_2018_002/av/AssignPrivatAVs.java

+package ch.ethz.matsim.projects.astra_2018_002.av;
+
+import java.util.Random;
+import java.util.concurrent.ThreadLocalRandom;
+
+import org.matsim.api.core.v01.Scenario;
+import org.matsim.api.core.v01.population.Leg;
+import org.matsim.api.core.v01.population.Person;
+import org.matsim.api.core.v01.population.Plan;
+import org.matsim.api.core.v01.population.PlanElement;
+import org.matsim.api.core.v01.population.Population;
+import org.matsim.core.config.Config;
+import org.matsim.core.config.ConfigUtils;
+import org.matsim.core.population.PopulationUtils;
+import org.matsim.core.scenario.ScenarioUtils;
+
+
+public class AssignPrivatAVs {
+	static public void main(String args[]) {
+		Config config = ConfigUtils.loadConfig(args[0]);
+		Scenario scenario = ScenarioUtils.loadScenario(config);
+		Random random = new Random(1);
+
+		for (Person person : scenario.getPopulation().getPersons().values()) {	
+			String carAvailability = (String) person.getAttributes().getAttribute("carAvail");
+			//System.out.println(carAvailability);//to check that the program is actually retrieving the value of carAvail
+			String string1 = "always";
+			String string2 = "sometimes";
+			
+			// if carAvail == always OR sometimes, then randomly assign an AV 6 out of 10 times, to produce
+			// a share of 60% AV ownership, as per the values in column P of the Excel-Table "Simulationsinput TP5"
+			// use. The twist is that we will not be modeling the "Living cars" nor "Kraftrad" or "One-Pod" or whatever
+			// it is called. We are grouping the "Pods" and "Living Cars" with Level 5 AVs and the "Kraftrad" with conventional cars. 
+			// We will assume that only Level 5 AVs offer a significantly different VOT from convetional vehicles, because all other
+			// levels of automation require the driver to still be able to instantly take over (up to Level 3) or the driver can only
+			// allow the car to drive alone in certain situations, and we do not have time to come up with a way to consider a vehicle whose
+			// VOT changes depending on the links it is driving on. 
+			
+			if(carAvailability.equals(string1)|| carAvailability.equals(string2)){
+				double r = random.nextDouble();
+				
+					if (r <= 0.4200) {//produces "true" 42.05% of the time
+					
+						person.getAttributes().putAttribute("prAvAvail","car");
+						person.getAttributes().putAttribute("carAvail", "true");
+					
+					} else if (r <= 0.66) {//produces "true" 65.91% of the time: because the first step took 42.05% of the agents already,
+						// then this step will only consider the next 23.86% of agents
+					
+						person.getAttributes().putAttribute("prAvAvail","prav3");
+						person.getAttributes().putAttribute("carAvail", "false");
+					
+					} else if (r <= 0.82){
+						person.getAttributes().putAttribute("prAvAvail","prav4");
+						person.getAttributes().putAttribute("carAvail", "false");
+					
+					} else {
+						person.getAttributes().putAttribute("prAvAvail","prav5");
+						person.getAttributes().putAttribute("carAvail", "false");
+					}
+				
+				} else {  // make sure that those agents who "never" have a car available also do not have an private av available,and to 
+					// prevent "null" exceptions from Java, which occur when a variable, such as the attribute "pAvail
+					person.getAttributes().putAttribute("prAvAvail","noPrav");
+					person.getAttributes().putAttribute("carAvail", "false");
+				}
+				
+			
+					// should also set selected plan to choose AV in order to start the 
+					// scenario with the percentages give by TP5 as a starting point....
+			
+
+			/*for (Plan plan : person.getPlans()) {
+				for (PlanElement element : plan.getPlanElements()) {
+					if (element instanceof Leg) {
+						Leg leg = (Leg) element;
+						
+						if (leg.getMode().equals("car")) {
+							//need to make sure Mode is not zero, otherwise java will throw an error
+							leg.setMode((String) person.getAttributes().getAttribute("pAvAvail"));
+						}
+					}
+				}
+			}*/
+		}
+		
+		for (Person person : scenario.getPopulation().getPersons().values()) {
+			for (Plan plan : person.getPlans()){
+				for (PlanElement element : plan.getPlanElements()) {
+					if (element instanceof Leg) {
+						Leg leg = (Leg) element;
+						
+						if (leg.getMode().equals("car")) {
+							//need to make sure Mode is not zero, otherwise java will throw an error
+							leg.setMode((String) person.getAttributes().getAttribute("pAvAvail"));
+						}
+					}
+				}
+			}
+		}
+			
+			 //##code that assigns all persons with carAvail == "always" or "sometimes" an AV##
+			/*if( carAvailability.equals(string1)) 
+				person.getAttributes().putAttribute("pAvAvail", "true");
+				
+				else if( carAvailability.equals(string2))
+					person.getAttributes().putAttribute("pAvAvail", "true");
+			
+				else
+					person.getAttributes().putAttribute("pAvAvail", "false");
+		*/
+		
+		
+		Population population = scenario.getPopulation();
+		
+		PopulationUtils.writePopulation(population, args[1]);
+
+	}
+}
\ No newline at end of file

[clivings]

Java throws a "java.lang.NullPointerException" that points to line 202 and 90 of PopulationWriterHandlerImpIV6.class . There seems to be some problem with assinging modes (but there isn't, i checked, all agents have a value in "pAvAvail" after the assignment loop) or with out one of the local variables is defined within the plan-adjustment loop.

[clivings]

Solution: it was a spelling mistake. Sometimes "prAvAvail" was used, sometimes "pAvAvail"