Quality Assurance and Quality Control Processes for a Large-Scale Bicycle and Pedestrian Volume Data Program

Author:

Jackson Kristy N.1,O’Brien Sarah Worth2,Searcy Sarah E.2,Warchol Shannon E.2

Affiliation:

1. Stewart, Inc., 421 Fayetteville Street, Suite 400, Raleigh, NC 27601

2. Institute for Transportation Research and Education, North Carolina State University, Box 8601, Raleigh, NC 27695

Abstract

Phase 1 of North Carolina’s Non-Motorized Volume Data Program (NMVDP) was conducted in the North Carolina Department of Transportation Divisions 7 and 9 in the Triad–Piedmont region of North Carolina. Continuous count stations (CCSs) were installed to monitor bicyclist and pedestrian traffic at 12 locations and began collecting data in late 2014. These stations covered a mix of sites across different land uses, travel patterns, and volume groups. Sites performed automated detection of pedestrians on sidewalks, bicycles and pedestrians on shared-use paths, bicycles in bicycle lanes, bicycles on sidewalks, and bicycles in mixed traffic. This paper summarizes the programmatic elements developed and implemented to select, install, and ensure high data quality for the 12 CCSs. These elements include agency coordination, site selection, equipment procurement and setup, equipment validation, equipment maintenance, data handling, quality assurance and quality control checks, and data reporting and analysis. After piloting this program in one region, the research team identified several changes to test when the NMVDP was expanded to a new region of the state to improve the quality of data collected: conduct weekly inspections of the data and perform validation to promptly identify maintenance issues, investigate the development of hourly data checks to implement, use a simpler interquartile range check, and consider developing automation to check data.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

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1. Imputing Time Series Pedestrian Volume Data With Consideration of Epidemiological-Environmental Variables;Transportation Research Record: Journal of the Transportation Research Board;2024-04-18

2. Quality Assurance Methods for Hourly Nonmotorized Traffic Counts;Transportation Research Record: Journal of the Transportation Research Board;2023-06-30

3. Pedestrian crossing volume estimation at signalized intersections using Bayesian additive regression trees;Journal of Intelligent Transportation Systems;2021-06-28

4. Minimizing Annual Average Daily Nonmotorized Traffic Estimation Errors: How Many Counters Are Needed per Factor Group?;Transportation Research Record: Journal of the Transportation Research Board;2019-05-16

5. Monitoring Trail Traffic in the Cincinnati Metropolitan Region, Ohio;The Journal of Park and Recreation Administration;2019

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