Supplemental Traffic Count Pilot Project for Establishing a Statewide Count Program in Colorado
To design roadway infrastructure for comprehensive safety of all users, understanding exposure is essential. Current count and volume estimation methods primarily focus on vehicular traffic, leaving a gap in exposure data for other supplemental traffic modes. There is also a lack of guidance on supplemental traffic count programs for optimum coverage across regions. Partial guidance on counting programs is available from sources such as the Federal Highway Administration’s Traffic Monitoring Guide. However, all these documents describe the design of a full-scale supplemental traffic counting program as being dependent on and informed by small scale pilot programs. The proposed project will develop guidance for Colorado Department of Transportation (CDOT) to develop a statewide full scale supplemental traffic count program. The objective of this study is to conduct a small-scale pilot supplemental counting program to test approaches identifying count location/distribution, technology use, and calculation of key statistics that would be available from a well-designed count program (such as crash/fatality rates). The outputs of this research effort would inform CDOT senior management and other practitioners when creating a detailed design and schedule for a full-scale supplemental traffic counting program. For researchers, this will provide a robust data driven framework for identifying supplemental traffic count locations. Furthermore, machine learning and statistical models for estimating and predicting supplemental traffic volumes using open source, readily available data will also be produced as part of this project. In addition to the aforementioned goals of the project, during multiple preliminary meetings with the CDOT team, the research team identified an additional need—creating a training program for the contractors who will collect the supplemental traffic data in the field. It is understood that, like the established vehicular traffic count program, a mature supplemental count program will rely on contractors for the data. The project team deemed it necessary that any contractor selected to collect supplemental traffic data via bidding would have to take a mandatory standardized training program. The project thus now focuses on contractor training and sample data collection during the training, field data collection post-training for a set of sites with different location characteristics (rural/urban/arterial, etc.), and identifying permanent counter locations based on the data collected, factors identified in the literature, and other available data.
Language
- English
Project
- Status: Active
- Funding: $339,800.00
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Contract Numbers:
69A3552348308
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Center for Transformative Infrastructure Preservation and Sustainability
North Dakota State University
Fargo, North Dakota United States 58108-6050 -
Project Managers:
Tolliver, Denver
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Performing Organizations:
Department of Civil Engineering
1200 Larimer Street, Room 3037
Denver, CO United States 80217 -
Principal Investigators:
Misra, Aditi
Marshall, Wesley
- Start Date: 20250521
- Expected Completion Date: 20270520
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
- Source Data: CTIPS-048
Subject/Index Terms
- TRT Terms: Data collection; Education and training; Machine learning; Pilot studies; Statistical analysis; Traffic counting
- Identifier Terms: Colorado Department of Transportation
- Subject Areas: Data and Information Technology; Education and Training; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01957066
- Record Type: Research project
- Source Agency: Center for Transformative Infrastructure Preservation and Sustainability
- Contract Numbers: 69A3552348308
- Files: UTC, RIP
- Created Date: Jun 1 2025 2:26PM