Mercurial Hosting > traffic-intelligence
diff scripts/safety-analysis.py @ 559:806df5f61c03
adapted safety-analysis script to use multi-threading
author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
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date | Tue, 15 Jul 2014 01:25:33 -0400 |
parents | a80ef6931fd8 |
children | 6d89520e269f |
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--- a/scripts/safety-analysis.py Mon Jul 14 17:44:09 2014 -0400 +++ b/scripts/safety-analysis.py Tue Jul 15 01:25:33 2014 -0400 @@ -14,7 +14,7 @@ parser.add_argument('--cfg', dest = 'configFilename', help = 'name of the configuration file', required = True) parser.add_argument('--prediction-method', dest = 'predictionMethod', help = 'prediction method (constant velocity (vector computation), constant velocity, normal adaptation, point set prediction)', choices = ['cvd', 'cv', 'na', 'ps']) parser.add_argument('--display-cp', dest = 'displayCollisionPoints', help = 'display collision points', action = 'store_true') -parser.add_argument('-n', dest = 'nProcesses', help = 'number of processes to run in parallel', type = int) +parser.add_argument('-n', dest = 'nProcesses', help = 'number of processes to run in parallel', type = int, default = 1) args = parser.parse_args() params = storage.ProcessParameters(args.configFilename) @@ -25,8 +25,10 @@ else: predictionMethod = params.predictionMethod -accelerationDistribution = lambda: random.triangular(-params.maxNormalAcceleration, params.maxNormalAcceleration, 0.) -steeringDistribution = lambda: random.triangular(-params.maxNormalSteering, params.maxNormalSteering, 0.) +def accelerationDistribution(): + return random.triangular(-params.maxNormalAcceleration, params.maxNormalAcceleration, 0.) +def steeringDistribution(): + return random.triangular(-params.maxNormalSteering, params.maxNormalSteering, 0.) if predictionMethod == 'cvd': # TODO add cve: constant velocity exact (Sohail's) predictionParameters = prediction.CVDirectPredictionParameters() @@ -58,7 +60,7 @@ interactions = events.createInteractions(objects) for inter in interactions: inter.computeIndicators() - inter.computeCrossingsCollisions(predictionParameters, params.collisionDistance, params.predictionTimeHorizon, params.crossingZones, params.nProcesses) + inter.computeCrossingsCollisions(predictionParameters, params.collisionDistance, params.predictionTimeHorizon, params.crossingZones, nProcesses = args.nProcesses) storage.saveIndicators(params.databaseFilename, interactions)