Data Fusion to Improve the Accuracy of Traffic Counts [Technology Transfer Activities]

Mullen, Robert; Huynh, Nathan

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Data Fusion to Improve the Accuracy of Traffic Counts [Technology Transfer Activities]

2023-07-01
By Mullen, Robert ; Huynh, Nathan

File Language:

English

Details

Creators:

Mullen, Robert ; Huynh, Nathan
Corporate Creators:

Center for Connected Multimodal Mobility, Clemson University ; University of South Carolina. Dept. of Civil & Environmental Engineering
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Resource Type:

Brief
Geographical Coverage:

South Carolina;United States
Corporate Publisher:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Abstract:

This study investigated the use of data fusion of two different traffic counting and classification methods. While sensor level fusion using thermal and optical images was investigated, it was not found useful by our approaches. The decision-level fusion method for pneumatic tube and infrared video is presented. The method was validated at three different locations in South Carolina. Errors in vehicle counts and vehicle classification were calculated using manual data collection from recorded videos as the baseline. In all locations, the results of data fusion are more accurate in both vehicle counts and vehicle classification when compared to either of the methods alone.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/74136/dot_74136_DS1.pdf
File Type:

[PDF - 216.52 KB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:f6ea238c60a5c11cc7ba4637365386b973d285d2e0caf34f637ff3e3928e0585fc3801de06567c8918ec1b1bb8f6d584781015d38efe68da2e59f0194a5a8e89

Data Fusion to Improve the Accuracy of Traffic Counts

This study investigated the use of data fusion of two different traffic counting and classification methods. While sensor level fusion using thermal a ...

Mullen, Robert ;

Huynh, Nathan
Data Fusion to Improve the Accuracy of Traffic Counts [supporting dataset]

Dataset

This study investigated the use of data fusion of two different traffic counting and classification methods. While sensor level fusion using thermal a ...

Mullen, Robert ;

Huynh, Nathan

File Language:

English

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