Data Fusion to Improve the Accuracy of Traffic Counts

Mullen, Robert; Huynh, Nathan; Eloise, Quentin; Center for Connected Multimodal Mobility, Clemson University; University of South Carolina. Dept. of Civil & Environmental Engineering

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Data Fusion to Improve the Accuracy of Traffic Counts

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

[PDF-704.17 KB]

English

Details Related Documents You May Also Like

Details:

Creators:

Mullen, Robert ; Huynh, Nathan ; Eloise, Quentin

Mullen, Robert ; Huynh, Nathan ; Eloise, Quentin Less -
Corporate Creators:

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

Center for Connected Multimodal Mobility, Clemson University ; University of South Carolina. Dept. of Civil & Environmental Engineering Less -
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

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

[+]

Data Analysis Data Fusion Planning Traffic Traffic Classification Traffic Measurement Video Imaging Detectors
Resource Type:

Tech Report
Geographical Coverage:

South Carolina ; United States

South Carolina ; United States Less -
Edition:

Final Report
Corporate Publisher:

Center for Connected Multimodal Mobility, Clemson University
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
Funding:

69A3551747117
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:a4b308ddc2b93e6e6dbf2cd862933e098324588ef0e1343f4fc88183f30fe272
Download URL:

https://rosap.ntl.bts.gov/view/dot/74134/dot_74134_DS1.pdf
File Type:

No Additional Files

More +

Data Fusion to Improve the Accuracy of Traffic Counts

Details:

Supporting Files

Related Documents

You May Also Like