Traffic in the United States has increased 30 percent in the past ten years, and the number of cars on the road is projected to increase by 50% in the next decade. As vehicular traffic increases, it has become increasingly difficult to collect traffic data accurately in congestion using traditional sensors such as piezos, road-tube or standard inductive loops. As freeways and urban areas become more congested, data quality deteriorates. Traditional sensors do not count accurately at low speeds or with bumper-to-bumper or stop-and-go traffic. Traditional Inductive Loop technology can join vehicles resulting in lower counts. Piezos and road tube sensors miss axles or miscalculate spacing at low or irregular speeds resulting in inaccurate vehicle classification. States have not been able to provide accurate data to the FHWA from major arterials and urban freeways, especially at peak times because traditional sensors are unable to cope with recurring congestion due to sensor saturation.
Peek Traffic has responded to this critical problem by combining 40 years of expertise in both data collection and inductive loops with advanced inductive loop detection algorithms called Idris Smart Loops developed by Diamond Consulting Services Ltd (DCS).
