GovComm Microwave Sensor Technology and the Ancient Greek Pythagorean Theorem

//GovComm Microwave Sensor Technology and the Ancient Greek Pythagorean Theorem

GovComm Microwave Sensor Technology and the Ancient Greek Pythagorean Theorem

GovComm’s forward facing Microwave Vehicle Detection Systems (MVDS) are revolutionizing the intelligent transportation system industry.  Our cutting edge technology provides significant advantages over side-fired competitors because our sensors are positioned in such a way that they look down the roadway to provide a longer and wider view than side-fired sensors, are less likely to experience occlusions and are the most advanced object tracking of any traffic radar.  GovComm MVDS collect more traffic data because vehicles remain present within our sensors field-of-view for relatively longer periods.  This greater amount of precise traffic data is the basis of our exact reporting because more accurate data results in more reliable statistics.  Conversely, side-fired sensors have narrow beams angled 90° to the road that “ping” passing objects and provide statistical reporting based on smaller sample sizes.

GovComm MVDS can be installed above the road (0°) or on conventional side-fired roadside infrastructure and angled (as much as 25°) facing traffic.  Our sensors utilize Doppler technology that capture bi-directional traffic while tracking up to 126 vehicles simultaneously as they travel within the sensors field-of-view.  Our graphical user interface (GUI) provides the ability to create one or more virtual measuring lines (data capture points) for the user to identify for statistical reporting.

Wrong-way detection (safety and accuracy) has also become a top concern and the GovComm MVDS is best suited to address this dilemma.  Through the GovComm GUI, a user can individually define up to 16 virtual triggers (defined by  measuring line and lane) that alarm when a vehicle is traveling in the wrong direction.  Conversely, in order for any side-fire radar device to detect wrong way traffic on freeway applications, the sensor must have dual beams, the ability to determine negative speeds and require additional expensive high-end PLC devices in the cabinet to accomplish the task.   Many times, the sensitivity of the side-fired sensors need to be adjusted to compensate for false positives, thus possibly affecting the accuracy of everyday detection.  GovComm virtual triggers can also be configured for other exceptions such as a truck traveling in a lane designated for cars.

GovComm MVDS captures data every 50 milliseconds (20 times per second) and employs the Pythagorean theorem to calculate precise vehicle position as it travels through the X and Y geometrical axis. The Pythagorean theorem was developed in the ancient Greek civilization by Pythagoras who was a Greek mathematician that figured-out that if we know the lengths of two sides of a right triangle, we can find the third side with just a little algebra.  The ancient Greeks mastered geometry because it was so concrete and didn’t need modern devices or tools like calculators or computers.

GovComm MVDS does not require traditional calibration (as with side-fired sensors) because we are geometrically plotting the course of vehicles within our sensors field-of-view while simultaneously performing mathematical calculations for time, size, speed and distance.

Simply stated, GovComm microwave vehicle detection systems collect the greatest volumes and most meaningful types of real-time traffic data resulting in the highest levels of speed, volume, occupancy and classification reporting.

About GovComm

GovComm is an industry leader in Intelligent Transportation System equipment and technologies. Our ITS equipment is ISO 9001 manufactured and developed, then laboratory tested ensuring that a series of standards that define, establish and maintain an effective quality assurance system is in place to guarantee our customers receive the highest quality products existing in the market.

For more information on GovComm, Inc. please visit:

By |2018-12-21T12:46:28+00:00November 9th, 2017|News|