Next Generation Traffic Data and Incident Detection from Video

Overview

The goal of this project was to document the potential for Video Analytics to be used by traffic operations centers (TOCs) and for traffic data collection. Video Analytics Systems in Iowa, Missouri, and Ontario were tested and evaluated. The components included: Traffic Data Collection (comparing the Video Analytics to trusted data sources), Incident Detection (comparing Video Analytics alerts to still images, video clips, and reported incidents to validate accuracy of detection), Wrong-Way Vehicle Controlled Test (a test to observe the ability of the Video Analytics systems to detect wrong-way movements), and Observations from Agency Staff (representatives from agencies provided feedback).

The results indicate that Video Analytics is a useful tool that could be put into current use. This report also contains some use case scenarios and lessons learned. Agencies can use these to plan for their use of Video Analytics systems.

Source Organization Location

Lansing
,
MI

Operations Area of Practice

    Corridor and Arterial Traffic Management
    Active Traffic Management (ATM)
    Communications
    Detection Systems
    Real Time Traveler Information
    Systems engineering
    Simulation Analysis
    Data Acquisition, Support and Hosting
    System Performance Definition, Monitoring and Reporting
    Cost / Benefit Analysis
    Hazard Identification
    Traffic Incident Management

Organizational Capability Element

    Project Systems Engineering
    Traveler Information
    Traffic Incident Management
    Emergency Transportation Operations
    Testing, Verification & Validation (V&V)
    Active Traffic Management/Travel Demand Management/Pricing

Content Type

Research

Role in Organization

Public
Senior Engineer
Researcher/Academic
Manager / First Line Supervisor
Director / Program Manager
Engineer
Senior Manager

Publishing Organization

Other Research Organizations

Document Downloads

Author
Linda Preisen,
Dean Deeter
TOM Chapters
6.5
29.1
24.1
20.1
20.2
19.2
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Issue Date
Publication Number
ENT-2014-2