01043519

Component

https://doi.org/10.3141/1993-16

http://scholar.google.com...ight&publication_year=2007

The Bernalillo County Public Works Division, New Mexico, developed a methodology to understand and assess traffic monitoring data. The methodology was applied to a national default value used to adjust traffic field measurements. This paper describes research on improving the traffic monitoring process and product. The proposed methodology identifies seven steps to understanding traffic data. The steps can be implemented by an individual analyst, but are recommended for discussion by all stakeholders in the traffic monitoring process including field personnel, office personnel who summarize and report the data, and data users. The methodology was applied to a national default value presented in the 2000 Highway Capacity Manual (HCM) that has been widely implemented, including by Bernalillo County. The factor adjusts traffic summary statistics to represent annual average daily traffic. The factor is used by local governments to adjust short-term traffic counts taken during the workweek so that the summary statistic can be used in a variety of applications including accident exposure rates. Accident exposure rates, for example, are based on traffic for all days, not the workweek. The result of the application of the methodology is that the national default value was found to be inappropriate. Modification to the HCM is recommended. Research to improve further the traffic monitoring process will develop, train, and exercise a team approach to understanding traffic data. Research to further improve the traffic monitoring product will be to identify local data collection sites and compare national, state, and local adjustment factors.

01077529

English

pp 117-123

2007

Transportation Research Record: Journal of the Transportation Research Board

9780309104197

Print

References (7) ; Tables (3)

Adjustment factors; Annual average daily traffic; Crash exposure; Highway capacity; Methodology; Traffic congestion; Traffic counts; Traffic data; Traffic surveillance

Highway Capacity Manual 2000

Field measurements

New Mexico

Highways; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Feb 8 2007 4:40PM

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• Composite Nearest Neighbor Nonparametric Regression to Improve Traffic Prediction
• Dashboards for Transportation Operations: Detector Health Case Study
• Development of a Regional Routing Model for Strategic Waterway Analysis
• Estimating Highway Investment Requirements with Uncertain Demands
• Impact of Data Integration on Some Important Travel Behavior Indicators
• Impact of Nonresponse and Weighting in Swedish Travel Survey
• Impact of Traffic Flow on Travel Time Variability of Freeway Corridors
• Internet-Based Mapping Prototype for Integration with an Electronic Freight Theft Management System
• Investigating Transferability of National Household Travel Survey Data
• New Methodology for Customizing Quality Assessment Techniques for Traffic Data Archives
• Numerical Characterization of Gross Vehicle Weight Distributions from Weigh-in-Motion Data
• Random Count Site Selection Process for Statistically Valid Estimations of Local Street Vehicle Miles Traveled
• Real-Time Detection and Tracking of Vehicle Base Fronts for Measuring Traffic Counts and Speeds on Highways
• Revised Method for Estimating Design Hourly Volumes in Vermont
• Use of Iterative Proportional Fitting Algorithm for Combining Traffic Count Data with Missing Dimensions
• Using Dual-Loop Event Data to Enhance Truck Data Accuracy
• Utilizing Real Options for Revenue Risk Mitigation in Transportation Project Financing
• Video-Based Vehicle Detection and Classification System for Real-Time Traffic Data Collection Using Uncalibrated Video Cameras
• Wireless Location Technology-Based Traffic Monitoring: Preliminary Recommendations to Transportation Agencies Based on a Synthesis of Experience and Simulation Results