--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/trajectorymanagement/test/EuclideanMetricTest.cpp	Mon Feb 22 22:09:35 2021 -0500
@@ -0,0 +1,80 @@
+#include "EuclideanMetricTest.h"
+
+void EuclideanMetricTest::setUp(void)
+{
+	trajectoryA = new Trajectory<CvPoint> ();
+	trajectoryB = new Trajectory<CvPoint> ();
+	metric = new EuclideanMetric<CvPoint, double> ();
+}
+
+void EuclideanMetricTest::tearDown(void)
+{
+	delete trajectoryA;
+	delete trajectoryB;
+	delete metric;
+
+	trajectoryA = NULL;
+	trajectoryB = NULL;
+	metric = NULL;
+}
+
+void EuclideanMetricTest::testMetric1(void)
+{
+	double result = double(0);
+	CPPUNIT_ASSERT_THROW(metric->distance(trajectoryA, trajectoryB, result), TrajectoryLengthErrorException);
+}
+
+void EuclideanMetricTest::testMetric2(void)
+{
+	double result = double(0);
+	trajectoryA->add(cvPoint(0, 0));
+	trajectoryB->add(cvPoint(0, 0));
+	metric->distance(trajectoryA, trajectoryB, result);
+	CPPUNIT_ASSERT_EQUAL(result, double(0));
+}
+
+void EuclideanMetricTest::testMetric3(void)
+{
+	double result = double(0);
+	trajectoryA->add(cvPoint(0, 0));
+	trajectoryB->add(cvPoint(1, 1));
+	metric->distance(trajectoryA, trajectoryB, result);
+	CPPUNIT_ASSERT_EQUAL(result, double(sqrt(2)));
+}
+
+void EuclideanMetricTest::testMetric4(void)
+{
+	double result = double(0);
+	trajectoryA->add(cvPoint(0, 0));
+	trajectoryB->add(cvPoint(3, 4));
+	metric->distance(trajectoryA, trajectoryB, result);
+	CPPUNIT_ASSERT_EQUAL(result, double(5));
+}
+
+void EuclideanMetricTest::testMetric5(void)
+{
+	double result = double(0);
+	trajectoryA->add(cvPoint(0, 0));
+	trajectoryA->add(cvPoint(-4, -3));
+	trajectoryB->add(cvPoint(3, 4));
+	trajectoryB->add(cvPoint(0, 0));
+	metric->distance(trajectoryA, trajectoryB, result);
+	CPPUNIT_ASSERT_EQUAL(result, sqrt(double(50)));
+}
+
+void EuclideanMetricTest::testMetric6(void)
+{
+	double result = double(0);
+	unsigned n = 100;
+	unsigned maxRand = 10000;
+	srand(time(NULL));
+	for (unsigned i = 0; i < n; ++i)
+	{
+		unsigned rand1 = rand() % maxRand;
+		unsigned rand2 = rand() % maxRand;
+		trajectoryA->add(cvPoint(rand1, rand2));
+		trajectoryB ->add(cvPoint(rand1 + 3, rand2 + 4));
+	}
+	metric->distance(trajectoryA, trajectoryB, result);
+	CPPUNIT_ASSERT_EQUAL(result, sqrt(double(n * 9 + n * 16)));
+}