Details:

Creators:
Coifman, Benjamin ; Huang, Bo ; Redmill, Keith ; Wu, Mo
Coifman, Benjamin ; Huang, Bo ; Redmill, Keith ; Wu, Mo Less -
Corporate Creators:
Ohio State University
Corporate Contributors:
United States. Federal Highway Administration
Subject/TRT Terms:
[+]
Data Mining Freeway Management Systems Loop Detectors Traffic Data Traffic Surveillance Vehicle Classification
Publication/ Report Number:
FHWA/OH-2015/1
Resource Type:
Tech Report
Geographical Coverage:
Ohio
Corporate Publisher:
Ohio. Dept. of Transportation. Office of Statewide Planning and Research
Abstract:
Vehicle classification data are used in many transportation applications, including: pavement design,

environmental impact studies, traffic control, and traffic safety. Ohio has over 200 permanent count stations,

supplemented by many more short-term count locations. Due to the high costs involved, the density of

monitoring stations is still very low given the lane miles that are covered. This study leveraged the deployed

detectors in the Columbus Metropolitan Freeway Management System (CMFMS) to collect and analyze

classification data from critical freeways where the Traffic Monitoring Section has not been able to collect much

classification data in the past due to site limitations. The CMFMS was deployed in an unconventional manner

because it included an extensive fiber optic network, frontloading most of the communications costs, and rather

than aggregating the data in the field, the detector stations sent all of the individual per-vehicle actuations (i.e.,

PVR data) to the traffic management center (TMC). The PVR data include the turn-on and turn-off time for

every actuation at each detector at the given station. Our group has collected and archived all of the PVR data

from the CMFMS for roughly a decade. The PVR data allows us to reprocess the original actuations

retroactively. As described in this report, the research undertook extensive diagnostics and cleaning to extract

the vehicle classification data from detectors originally deployed for traffic operations.

The work yielded length based vehicle classification data from roughly 40 bi-directional miles of urban

freeways in Columbus, Ohio over a continuous monitoring period of up to 10 years. The facilities span I-70, I-

71, I-270, I-670, and SR-315, including the heavily congested inner-belt. Prior to this study, these facilities

previously had either gone completely unmonitored or were only subject to infrequent, short-term counts.


Format:
PDF
Funding:
State Job Number 134696
Collection(s):
US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:33ebf8495d9ce594f99c29f17908fe62acf90743456e04b2cf9275dfea484259
Download URL:
https://rosap.ntl.bts.gov/view/dot/28778/dot_28778_DS1.pdf
File Type:

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