Development and testing of incident detection algorithms. Vol. 2, research methodology and detailed results.

Payne, H. J.; Helfenbein, E. D.; Knobel, H. C.; Technology Service Corporation

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Development and testing of incident detection algorithms. Vol. 2, research methodology and detailed results.

1976-04-01
By Payne, H. J. ; Helfenbein, E. D. ; Knobel, H. C.

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English

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Creators:

Payne, H. J. ; Helfenbein, E. D. ; Knobel, H. C.

Payne, H. J. ; Helfenbein, E. D. ; Knobel, H. C. Less -
Corporate Creators:

Technology Service Corporation
Corporate Contributors:

United States. Department of Transportation. Federal Highway Administration. Office of Research and Development
Subject/TRT Terms:

[+]

Algorithms Detectors (Traffic) Highway Design Incidents Pattern Recognition Pattern Recognition Systems Research Time Series Traffic Incidents Traffic Lanes Vehicle Detectors Weather
Publication/ Report Number:

FHWA-RD-76-20
Resource Type:

Tech Report
Geographical Coverage:

Los Angeles (California);Minneapolis (Minnesota)
Edition:

Final Report
Contracting Officer:

Tignor, S.C.
Corporate Publisher:

United States. Federal Highway Administration. Office of Research and Development
Abstract:

The development and testing of incident detection algorithms was based on Los Angeles and Minneapolis freeway surveillance data. Algorithms considered were based on times series and pattern recognition techniques. Attention was given to the effects of geometrics, sensor configuration and weather, and methods were developed for detecting malfunctioning sensors and for identifying the lane of an incident. The second volume describes the methodology used for evaluating and calibrating incident detection algorithms, the specific time series techniques examined (exponential smoothing and traffic correlation) and the decision tree structure for algorithms. Detailed results and discussions pertaining to all aspects of this study are presented here.
Format:

PDF
Funding:

DOT-FH-11-8278
Collection(s):

Federal Highway Administration
Main Document Checksum:

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urn:sha-512:b512a4bb9e13ede69be22f581a27e30cf8dcc627a334c31056da88616561dfc5ec278d91053d808978c2315940567099799bb0cbc0c5c59ade475aa97b2384ac
Download URL:

https://rosap.ntl.bts.gov/view/dot/744/dot_744_DS1.pdf
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Development and testing of incident detection algorithms. Vol. 2, research methodology and detailed results.

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