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SmartCorridors

Among many successful projects IGS has developed a system for Alameda County Congestion Management (ACCMA) (www.smartcorrdidors.com) that provides unique capabilities and functionality around congestion management using sophisticated data management technologies that integrates a variety of data sources including:

  1. Closed Caption Television (CCTV) Integration
  2. Vehicle Infrastructure Integration (VII)
  3. Highway Advisory Radio (HAR)
  4. Microwave Vehicle Detection Sensors (MVDS)
  5. Changeable Message Signs (CMS)
  6. Archived Data Planning Tool

The system integrates with Caltrans' Traffic Management Center (TMC) and offers a many innovative features that do not exist in other systems.

DATA COLLECTION
The IGC-Concentrator collects volume and speed data for the arterials and highways within its geographical jurisdiction. This data will give operators and other users complete information on the status of traffic congestion and traffic flow and serve as indicators as to the use of all the other devices and applications in the system. Data will be collected in the form of numerical and visual information. Numerical information is gathered through vehicle detection equipment; visual information is gathered through video from the closed-circuit television (CCTV) cameras. Each agency would retain full control and autonomy within its jurisdiction.

INFORMATION DISSEMINATION PREDICTIVE ANALYSIS
Once the information is collected and processed, IGC-Analytic will disseminate the information to motorists (i.e., autos, transit, commercial, pedestrians). The information is real-time and will be given to motorists immediately through Changeable Message Signs (CMS), Highway Advisory Radio (HAR), and displayed on a map enabled Internet web site. Other non-critical traffic information can also be stored in the database and displayed on the website.

OUR CLIENTS

IGC has developed software products that are customizable and are developed based on best practices and procedures to deliver a new level of intelligence to the modern multi-modal traffic management systems.

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