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Georgia DOT deploys TrafficSense to provide traffic data at a major construction zone August

( Atlanta, GA) – August 16, 2006 -- The Georgia Department of Transportation (GDOT) has awarded a contract to Cellint Traffic Solutions to collect and report travel times, incident alerts and local speed along GA400 and adjacent arterials, based on data retrieved from cellular networks. The project was initiated since the current sensor system at GA400 was partially disabled due to a large construction project. TrafficSense data will also be used to manage the traffic on alternative roads to the sections under construction.

As part of this project, GDoT will also use this opportunity to expand its evaluation of the data quality of traffic data collection technologies and verify detection latency by comparing the data to road sensors which are still active.

Cellint’s system uses anonymous signaling patterns from cellular networks to determine the average speeds along the road and to isolate changes in speed on real time basis to locate potential traffic incidents.

Mark Demidovich, the Georgia DOT project manager working on the initiative, has stated that the ability to quickly turn-up a system that provides the Georgia motorists with needed travel information is the Departments highest priority, and it is the intention of GDoT to incorporate Cellint’s data in its Navigator program.

Navigator is a system of data sensors and traveler alert displays that are connected through the DOT's Transportation Management Center in downtown Atlanta, and provides traffic data minute by minute, on 140 miles of Atlanta-area roadways. GDOT uses the data to manage traffic, broadcast alerts to drivers, and respond to traffic-blocking incidents.

About Cellint Traffic Solutions – Cellint (www.cellint.com) is a leading provider of cellular based detection systems. Cellint's systems were deployed over more than 2000 miles during the last year in the US, Europe and Israel. Cellint's TrafficSense data accuracy was validated in real time by DOT agencies against road sensors and floating test vehicles. The benchmarking results showed that TrafficSense data is equivalent to inductive loops in detecting speed changes, and provides more accurate travel time than road sensors, especially during speed fluctuations.

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