Advanced Imaging


Advanced Imaging Magazine

Updated: July 8th, 2008 05:26 PM CDT

Detecting Traffic Incidents

A graphic representation of incident detection system components.
This "cloverleaf" represents an area with high potential for traffic incidents.
A transportation operations center for incident detection and traffic management.

By Lee J. Nelson
Contributing Editor

Excel Technology Group (Seventeen Mile Rocks, Queensland, Australia) offers incident detection/vehicle classification with supplemental functions which include vehicular volume, occupancy, speed and headway. Realtime incident data for traffic engineers are returned simultaneously with statistical information (vehicle length, weight, speed, usage pattern).

Autoscope Video Vehicle Detection Systems (Image Sensing Systems, Inc., Saint Paul, Minn.) automatically identify occurrences in tunnels and on open highways. The technology – relying primarily on vehicular speed – delivers a high-performance alternative to magneto-inductive loops and other approaches for junction control, incident detection and surveillance applications.

Iteris Inc. (Anaheim, Calif.) manufactures and sells their Vantage Video Detection Systems for highway management and intersection control. Vantage also imparts an information collection resource which expands Iteris’ capabilities into video incident detection and data measurement applications (vehicle presence, count, speed, occupancy).

The Peek Traffic (Palmetto, Fla.) subsidiary of Quixote Transportation Safety, Inc. announces VideoTrak Plus for cost-effective and accurate vehicle and incident detection and data collection. VideoTrak’s multi-resolution processor affords realtime video analysis to identify traffic conditions, adapt to various environments, monitor image quality and verify proper camera operation. Patented tracking algorithms perform detection, while specialized shadow filtering, image stabilization and automatic gain adjustment minimize false positives as well as false negative calls.

Siemens Traffic Controls Limited’s (Poole, Dorset, U.K.) INGRID detects traffic incidents in urban areas. Relying on two classes of algorithms to minimize false alarms, one examines current data for sudden changes in traffic flow and occupancy. The other uses ASTRID (the Automatic SCOOT TRaffic Information Database) to assess historical reference information against current SCOOT (Split Cycle and Offset Optimization Technique) data.

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