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Title:

AUTOALERT: AUTOMATED ACOUSTIC DETECTION OF INCIDENTS

Accession Number:

00734675

Record Type:

Monograph

Availability:

National Technical Information Service

5301 Shawnee Road
Alexandria, VA 22312 United States

Abstract:

This Innovations Deserving Exploratory Analysis (IDEA) project included the design and preliminary evaluation, as well as feasibility demonstration, of AutoAlert, an acoustic traffic sensor system that applies new signal processing algorithms to passive acoustic data to advance the state of practical acoustic incident detection techniques. These techniques, originally developed for national defense applications, will perform reliable, automatic, nearly instantaneous, all-weather incident detection under highly variable traffic conditions. Effective operation of urban high-capacity Intelligent Transportation Systems (ITS) requires speedy detection of incidents at chokepoints, such as tunnels, bridges and other aerial structures, and dense urban arterials. AutoAlert overcomes shortcomings of loop and video detectors, such as their inability to distinguish between incidents and congestion, and the need for a human-in-the-loop for video detection. The AutoAlert processor "hears" an incident before congestion builds, and can be used either as an independent detector, or its outputs can be combined (data fusion) with other detector outputs for joint improved decisions and incident verification. AutoAlert algorithms will provide a new level of incident detection timeliness and reliability (low false alarms) by applying sophisticated statistical models: Hidden Markov Models and Canonical Variates Analysis. These are used to analyze both short-term and time-varying signals that characterize incidents.

Supplemental Notes:

This ITS-IDEA project was conducted by TASC, Inc., Reading, Massachusetts.

Contract Numbers:

ITS-19

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Whitney, D A
Pisano, J J

Pagination:

57 p.

Publication Date:

1995-12-26

Serial:

ITS-IDEA Program Project Final Report

Publisher: Transportation Research Board

Media Type:

Digital/other

Features:

Figures (39) ; References (1) ; Tables (2)

Old TRIS Terms:

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control

Files:

NTL, TRIS, TRB

Created Date:

Mar 27 1997 12:00AM