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HighwayEnvironment.prob2project
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HighwayEnvironment.prob2project
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{
"name": "HighwayEnvironment",
"description": "",
"machines": [
{
"name": "HighwayEnvironment",
"description": "",
"location": "HighwayEnvironment/HighwayEnvironment.mch",
"lastUsedPreferenceName": "default",
"temporalFormulas": [],
"ltlPatterns": [],
"symbolicCheckingFormulas": [],
"symbolicAnimationFormulas": [],
"testCases": [],
"traces": [
{
"location": "HighwayEnvironment/traces/Agent_Slowing_Down.prob2trace",
"selected": true
},
{
"location": "HighwayEnvironment/traces/Agent_Lane_Left_Collision.prob2trace",
"selected": true
}
],
"modelcheckingItems": [],
"proofObligationItems": [],
"simulations": [
{
"path": "HighwayEnvironment/HighwayEnvironment.py",
"simulationItems": [
{
"type": "HYPOTHESIS_TEST",
"information": {
"SIGNIFICANCE": 0.05,
"PROBABILITY": 0.95,
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 100,
"PREDICATE": "Crash = FALSE",
"ENDING_TIME": 60000,
"HYPOTHESIS_CHECKING_TYPE": "LEFT_TAILED",
"CHECKING_TYPE": "PREDICATE_INVARIANT"
}
},
{
"type": "ESTIMATION",
"information": {
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 100,
"ESTIMATION_TYPE": "MEAN",
"ENDING_TIME": 60000,
"EXPRESSION": "VehiclesVx(EgoVehicle)",
"DESIRED_VALUE": 800.0,
"CHECKING_TYPE": "SUM",
"EPSILON": 250.0
}
},
{
"type": "ESTIMATION",
"information": {
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 100,
"ESTIMATION_TYPE": "MEAN",
"ENDING_TIME": 60000,
"EXPRESSION": "RSQRT(VehiclesVy(EgoVehicle) * VehiclesVy(EgoVehicle) + VehiclesVx(EgoVehicle) * VehiclesVx(EgoVehicle))",
"DESIRED_VALUE": 25.0,
"CHECKING_TYPE": "AVERAGE",
"EPSILON": 5.0
}
},
{
"type": "ESTIMATION",
"information": {
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 100,
"ESTIMATION_TYPE": "MEAN",
"ENDING_TIME": 60000,
"EXPRESSION": "Reward",
"DESIRED_VALUE": 0.7,
"CHECKING_TYPE": "AVERAGE",
"EPSILON": 0.3
}
},
{
"type": "ESTIMATION",
"information": {
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 100,
"ESTIMATION_TYPE": "MEAN",
"ENDING_TIME": 60000,
"EXPRESSION": "Reward",
"DESIRED_VALUE": 55.0,
"CHECKING_TYPE": "SUM",
"EPSILON": 5.0
}
},
{
"type": "HYPOTHESIS_TEST",
"information": {
"SIGNIFICANCE": 0.05,
"PROBABILITY": 0.95,
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 100,
"PREDICATE": "RSQRT(VehiclesVy(EgoVehicle) * VehiclesVy(EgoVehicle) + VehiclesVx(EgoVehicle) * VehiclesVx(EgoVehicle)) >= 20.0",
"ENDING_TIME": 60000,
"HYPOTHESIS_CHECKING_TYPE": "LEFT_TAILED",
"CHECKING_TYPE": "PREDICATE_INVARIANT"
}
},
{
"type": "HYPOTHESIS_TEST",
"information": {
"SIGNIFICANCE": 0.05,
"PROBABILITY": 0.95,
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 100,
"PREDICATE": "RSQRT(VehiclesVy(EgoVehicle) * VehiclesVy(EgoVehicle) + VehiclesVx(EgoVehicle) * VehiclesVx(EgoVehicle)) <= 30.0",
"ENDING_TIME": 60000,
"HYPOTHESIS_CHECKING_TYPE": "LEFT_TAILED",
"CHECKING_TYPE": "PREDICATE_INVARIANT"
}
},
{
"type": "HYPOTHESIS_TEST",
"information": {
"SIGNIFICANCE": 0.05,
"PROBABILITY": 0.95,
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 100,
"PREDICATE": "RSQRT(VehiclesAy(EgoVehicle) * VehiclesAy(EgoVehicle) + VehiclesAx(EgoVehicle) * VehiclesAx(EgoVehicle)) >= -3.0",
"ENDING_TIME": 60000,
"HYPOTHESIS_CHECKING_TYPE": "LEFT_TAILED",
"CHECKING_TYPE": "PREDICATE_INVARIANT"
}
},
{
"type": "HYPOTHESIS_TEST",
"information": {
"SIGNIFICANCE": 0.05,
"PROBABILITY": 0.95,
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 100,
"PREDICATE": "RSQRT(VehiclesAy(EgoVehicle) * VehiclesAy(EgoVehicle) + VehiclesAx(EgoVehicle) * VehiclesAx(EgoVehicle)) <= 5.0",
"ENDING_TIME": 60000,
"HYPOTHESIS_CHECKING_TYPE": "LEFT_TAILED",
"CHECKING_TYPE": "PREDICATE_INVARIANT"
}
},
{
"type": "HYPOTHESIS_TEST",
"information": {
"SIGNIFICANCE": 0.05,
"PROBABILITY": 0.95,
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 100,
"PREDICATE": "not(#v. (v : Vehicles \\ {EgoVehicle} & VehiclesX(v) >= -10.0 & VehiclesX(v) <= 15.0 & VehiclesY(v) >= -2.0 & VehiclesY(v) <= 4.0))",
"ENDING_TIME": 60000,
"HYPOTHESIS_CHECKING_TYPE": "LEFT_TAILED",
"CHECKING_TYPE": "PREDICATE_INVARIANT"
}
}
]
},
{
"path": "HighwayEnvironment/HighwayEnvironment_Base.py",
"simulationItems": [
{
"type": "MONTE_CARLO_SIMULATION",
"information": {
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 1000,
"ENDING_TIME": 60000
}
},
{
"type": "MONTE_CARLO_SIMULATION",
"information": {
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 10,
"ENDING_TIME": 60000
}
},
{
"id": "Sim_SAF1_Base",
"type": "HYPOTHESIS_TEST",
"information": {
"SIGNIFICANCE": 0.01,
"PROBABILITY": 0.95,
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 1000,
"PREDICATE": "Crash = FALSE",
"ENDING_TIME": 60000,
"HYPOTHESIS_CHECKING_TYPE": "LEFT_TAILED",
"CHECKING_TYPE": "PREDICATE_INVARIANT"
}
},
{
"id": "Sim_Velocity_Base",
"type": "ESTIMATION",
"information": {
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 1000,
"ESTIMATION_TYPE": "MEAN",
"ENDING_TIME": 60000,
"EXPRESSION": "RSQRT(VehiclesVy(EgoVehicle) * VehiclesVy(EgoVehicle) + VehiclesVx(EgoVehicle) * VehiclesVx(EgoVehicle))",
"DESIRED_VALUE": 25.0,
"CHECKING_TYPE": "AVERAGE",
"EPSILON": 5.0
}
},
{
"id": "Sim_Reward_Base",
"type": "ESTIMATION",
"information": {
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 1000,
"ESTIMATION_TYPE": "MEAN",
"ENDING_TIME": 60000,
"EXPRESSION": "Reward",
"DESIRED_VALUE": 40.0,
"CHECKING_TYPE": "SUM",
"EPSILON": 20.0
}
},
{
"id": "Sim_Distance_Base",
"type": "ESTIMATION",
"information": {
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 1000,
"ESTIMATION_TYPE": "MEAN",
"ENDING_TIME": 60000,
"EXPRESSION": "VehiclesVx(EgoVehicle)",
"DESIRED_VALUE": 1500.0,
"CHECKING_TYPE": "SUM",
"EPSILON": 300.0
}
},
{
"id": "Sim_SAF4_Base",
"type": "HYPOTHESIS_TEST",
"information": {
"SIGNIFICANCE": 0.01,
"PROBABILITY": 0.7,
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 1000,
"PREDICATE": "Crash = FALSE => (VehiclesAx(EgoVehicle) < 0.0 => RSQRT(VehiclesAy(EgoVehicle) * VehiclesAy(EgoVehicle) + VehiclesAx(EgoVehicle) * VehiclesAx(EgoVehicle)) <= 5.0)",
"ENDING_TIME": 60000,
"HYPOTHESIS_CHECKING_TYPE": "LEFT_TAILED",
"CHECKING_TYPE": "PREDICATE_INVARIANT"
}
},
{
"id": "Sim_SAF5_Base",
"type": "HYPOTHESIS_TEST",
"information": {
"SIGNIFICANCE": 0.01,
"PROBABILITY": 0.7,
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 1000,
"PREDICATE": "Crash = FALSE => (VehiclesAx(EgoVehicle) > 0.0 => RSQRT(VehiclesAy(EgoVehicle) * VehiclesAy(EgoVehicle) + VehiclesAx(EgoVehicle) * VehiclesAx(EgoVehicle)) <= 5.0)",
"ENDING_TIME": 60000,
"HYPOTHESIS_CHECKING_TYPE": "LEFT_TAILED",
"CHECKING_TYPE": "PREDICATE_INVARIANT"
}
},
{
"id": "Sim_SAF2_Base",
"type": "HYPOTHESIS_TEST",
"information": {
"SIGNIFICANCE": 0.01,
"PROBABILITY": 0.7,
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 1000,
"PREDICATE": "Crash = FALSE => (RSQRT(VehiclesVy(EgoVehicle) * VehiclesVy(EgoVehicle) + VehiclesVx(EgoVehicle) * VehiclesVx(EgoVehicle)) >= 20.0)",
"ENDING_TIME": 60000,
"HYPOTHESIS_CHECKING_TYPE": "LEFT_TAILED",
"CHECKING_TYPE": "PREDICATE_INVARIANT"
}
},
{
"id": "Sim_SAF3_Base",
"type": "HYPOTHESIS_TEST",
"information": {
"SIGNIFICANCE": 0.01,
"PROBABILITY": 0.7,
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 1000,
"PREDICATE": "Crash = FALSE => (RSQRT(VehiclesVy(EgoVehicle) * VehiclesVy(EgoVehicle) + VehiclesVx(EgoVehicle) * VehiclesVx(EgoVehicle)) <= 30.0)",
"ENDING_TIME": 60000,
"HYPOTHESIS_CHECKING_TYPE": "LEFT_TAILED",
"CHECKING_TYPE": "PREDICATE_INVARIANT"
}
},
{
"id": "Sim_SAF6_Base",
"type": "HYPOTHESIS_TEST",
"information": {
"SIGNIFICANCE": 0.01,
"PROBABILITY": 0.95,
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 1000,
"PREDICATE": "not(#v. (v : Vehicles \\ {EgoVehicle} & VehiclesX(v) >= -15.0 & VehiclesX(v) <= 15.0 & VehiclesY(v) >= -4.0 & VehiclesY(v) <= 4.0))",
"ENDING_TIME": 60000,
"HYPOTHESIS_CHECKING_TYPE": "LEFT_TAILED",
"CHECKING_TYPE": "PREDICATE_INVARIANT"
}
},
{
"type": "HYPOTHESIS_TEST",
"information": {
"SIGNIFICANCE": 0.001,
"PROBABILITY": 0.999,
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 1000,
"PREDICATE": "Crash = FALSE => not(#v. (v : Vehicles \\ {EgoVehicle} & VehiclesX(v) < 0.01 & VehiclesX(v) > -0.01 & VehiclesY(v) < 0.01 & VehiclesY(v) > -0.01))",
"ENDING_TIME": 60000,
"HYPOTHESIS_CHECKING_TYPE": "LEFT_TAILED",
"CHECKING_TYPE": "PREDICATE_INVARIANT"
}
}
]
},
{
"path": "HighwayEnvironment_Higher_Penalty_Collision.py",
"simulationItems": [
{
"type": "MONTE_CARLO_SIMULATION",
"information": {
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 1000,
"ENDING_TIME": 60000
}
},
{
"type": "MONTE_CARLO_SIMULATION",
"information": {
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 10,
"ENDING_TIME": 60000
}
},
{
"id": "Sim_SAF1_HP",
"type": "HYPOTHESIS_TEST",
"information": {
"SIGNIFICANCE": 0.01,
"PROBABILITY": 0.95,
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 1000,
"PREDICATE": "Crash = FALSE",
"ENDING_TIME": 60000,
"HYPOTHESIS_CHECKING_TYPE": "LEFT_TAILED",
"CHECKING_TYPE": "PREDICATE_INVARIANT"
}
},
{
"id": "Sim_Velocity_HP",
"type": "ESTIMATION",
"information": {
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 1000,
"ESTIMATION_TYPE": "MEAN",
"ENDING_TIME": 60000,
"EXPRESSION": "RSQRT(VehiclesVy(EgoVehicle) * VehiclesVy(EgoVehicle) + VehiclesVx(EgoVehicle) * VehiclesVx(EgoVehicle))",
"DESIRED_VALUE": 25.0,
"CHECKING_TYPE": "AVERAGE",
"EPSILON": 5.0
}
},
{
"id": "Sim_Reward_HP",
"type": "ESTIMATION",
"information": {
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 1000,
"ESTIMATION_TYPE": "MEAN",
"ENDING_TIME": 60000,
"EXPRESSION": "Reward",
"DESIRED_VALUE": 40.0,
"CHECKING_TYPE": "SUM",
"EPSILON": 20.0
}
},
{
"id": "Sim_Distance_HP",
"type": "ESTIMATION",
"information": {
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 1000,
"ESTIMATION_TYPE": "MEAN",
"ENDING_TIME": 60000,
"EXPRESSION": "VehiclesVx(EgoVehicle)",
"DESIRED_VALUE": 1500.0,
"CHECKING_TYPE": "SUM",
"EPSILON": 300.0
}
},
{
"id": "Sim_SAF4_HP",
"type": "HYPOTHESIS_TEST",
"information": {
"SIGNIFICANCE": 0.01,
"PROBABILITY": 0.7,
"MAX_STEPS_BEFORE_PROPERTY": 0,
"EXECUTIONS": 1000,
"PREDICATE": "Crash = FALSE => (VehiclesAx(EgoVehicle) < 0.0 => RSQRT(VehiclesAy(EgoVehicle) * VehiclesAy(EgoVehicle) + VehiclesAx(EgoVehicle) * VehiclesAx(EgoVehicle)) <= 5.0)",
"ENDING_TIME": 60000,
"HYPOTHESIS_CHECKING_TYPE": "LEFT_TAILED",
"CHECKING_TYPE": "PREDICATE_INVARIANT"
}
},
{
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