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08 September 2014



Econolite highlights upgrade to Autoscope software

First publishedin ITS World Congress
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Day 1
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Scott Robinson Econolite
Scott Robinson of Econolite with the upgraded Autoscope

The Econolite booth at this ITS World Congress is highlighting an Autoscope software upgrade, the next generation in rack mounted advanced transportation controllers, and the revolutionary Traffic Predictive Pattern Solution (TPPS).

Autoscope Version 10.3.0 free software upgrade provides bicycle differentiation and is compatible to all existing Autoscope Solo Terra, Rackvision Terra, Encore, and Duo detection systems. The software supports bicycle minimum green programming (Bike-Min) that is becoming more prominent, even specified, in many traffic signal programs, as well as offered as a standard feature of modern traffic signal controllers, including Econolite ASC/3 and Cobalt ATC controllers. In addition to bicycle differentiation and stop bar detection, agencies can leverage Autoscope for advance detection, surveillance, as well as traffic data collection.

Meanwhile, the next generation in rack mounted advanced transportation controllers - Cobalt RM (RackMount) ATC is the first series of controllers to feature a new platform in user interface designed to accommodate the mobile computing environment. In addition, Cobalt RM supports remote, wireless access from an Android tablet application – Cobalt Mobile – which connects via Wi-Fi for unparalleled convenience, enabling an authorised user the ability to work comfortably and safely from a vehicle or other location.

The Traffic Predictive Pattern Solution (TPPS) is an integration of IBM Intelligent Transportation and Econolite Advanced Transportation Management Systems (ATMS) which leverages Econolite’s Centracs ATMS to provide the traffic data required to power the predictive capabilities of the IBM Intelligent Transportation solution. In turn, the predictive information from IBM is communicated back to the Econolite Centracs system to make appropriate traffic control pattern changes in advance of a pending spike in traffic flow.
Together, they provide predictive management on a system-wide basis that generates the predicted traffic volume and travel times for all road segments in the network up to 60 minutes into the future.

Booth: 1614

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