Development of Autonomous Enforcement Approach using Advanced Weigh-In-Motion (A-WIM) System to Minimize Impact of Overweight Trucks on Infrastructure [supporting datasets]

Demiroluk, Sami; Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)

doi:10.5281/zenodo.3697238

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Development of Autonomous Enforcement Approach using Advanced Weigh-In-Motion (A-WIM) System to Minimize Impact of Overweight Trucks on Infrastructure [supporting datasets]

2020-03-04
See Associated Publication(s)
By Demiroluk, Sami

[PDF-111.12 KB]

English

Details Supporting Files Publications You May Also Like

Details:

Alternative Title:

C2SMART WIM Dashboard [Dataset title]
Creators:

Demiroluk, Sami
Corporate Creators:

Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)
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:

[+]

Automated Enforcement Bridges Data Quality Overweight Loads Sensors Weigh In Motion
DOI:

https://doi.org/10.5281/zenodo.3697238
Resource Type:

Dataset
Geographical Coverage:

United States ; New York (New York)

United States ; New York (New York) Less -
Corporate Publisher:

Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)
Abstract:

This study presented the effort to evaluate the damage induced by the overweight (OW) trucks in New York City (NYC) and to implement the advanced weigh-in-motion (WIM) system for future autonomous OW enforcement practice to one testbed. First, the bridge and pavement data were aggregated from the National Bridge Inventory (NBI) database and bridge inspection reports of the NYC bridges and carefully reviewed and analyzed. Accordingly, the team established deterioration models for different types of structures to estimate their socio-economic impact on major highways. Then, the team worked with the New York City Department of Transportation (NYCDOT) to plan and establish a testbed along the triple cantilever of the Brooklyn-Queens Expressway (BQE) corridor to install, collect, and interpret various types of WIM sensors to effectively use the truck weight spectra. It was found that Quartz sensors provide more reliable and accurate data compared to traditional piezo-type sensors (PVDF). In the end, the quality of WIM data was evaluated based on various quality control and quality assurance (QC/QA) methods.
Format:

ZIP
Funding:

69A3551747124
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:6aa794fea4b4f4d91f8006f5fa8b27ab7a9bf87eaa65cfa5fc412ec14053849d
Download URL:

https://rosap.ntl.bts.gov/view/dot/61998/dot_61998_DS1.pdf
File Type:

Metadata File

json

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