Details:

Creators:
Coifman, Benjamin
Corporate Creators:
NEXTRANS Center (U.S.) ; Ohio State University
NEXTRANS Center (U.S.) ; Ohio State University Less -
Corporate Contributors:
United States. Department of Transportation. Research and Innovative Technology Administration
Subject/TRT Terms:
[+]
Mathematical Models Vehicle Classification Vehicle Detectors Vehicle Detectors--Mathematical Models Vehicles--Classification--Mathematical Models
Publication/ Report Number:
003OY01
Resource Type:
Tech Report
Geographical Coverage:
Indiana
Corporate Publisher:
NEXTRANS Center (U.S.)
Abstract:
Roadway usage, particularly by large vehicles, is one of the fundamental factors determining the lifespan

of highway infrastructure, e.g., as evidenced by the federally mandated Highway Performance

Monitoring System (HPMS). But the complexity of Weigh in Motion (WIM) and other classification

stations makes them difficult and costly to maintain. Some of the classification stations employ axle

counters, but the least expensive of these stations use dual loop detectors to measure vehicle length

and classify vehicles based on this measurement. To date, collecting reliable length data from single loop

detectors has been considered impossible due to the noisy speed estimates. Single loop detectors

promise to be an inexpensive alternative to spread classification coverage to the existing count stations

and existing traffic operations detector stations. By extending classification to the relatively high density

of real time traffic monitoring stations in urban areas, the classification work could allow these urban

traffic management systems to better monitor freight traffic within the metropolitan areas.

The research seeks to develop a means to reliably classify vehicles using estimated vehicle length from

single loop detectors. Single loop detectors are the most common vehicle detector, yet they are not

used for vehicle classification due to the inherent noise in the individual vehicle length estimates. This

work has developed a means to extract more reliable vehicle speed estimates from single loop

detectors, and thus, vehicle length estimates as well. This new, reliable, single loop detector

methodology for classifying vehicles based on estimated vehicle length is significant because it will

provide a low cost means of collecting vehicle classification data by extending the capabilities of existing

single loop detectors. There are thousands of single loop detectors on the freeways within the region

served by NEXTRANS.


Format:
PDF
Collection(s):
US Transportation Collection University Transportation Centers
Main Document Checksum:
[+]
urn:sha256:5f086df61091366bfa09e56d0c2ca209980df5132599df3cab9fe40607c9d320
Download URL:
https://rosap.ntl.bts.gov/view/dot/17343/dot_17343_DS1.pdf
File Type:

Supporting Files

• No Additional Files

More +