01517521

Component

https://doi.org/10.3141/2443-06

http://scholar.google.com...patz&publication_year=2014

Increasing rates of motorcyclist fatalities and registrations but decreasing reported vehicle miles traveled (VMT) resulted in suspicions that motorcycle monitoring programs need improvement. Better detection of motorcycles (FHWA Class 1 vehicles) is needed as is guidance on locations to capture representative counts of motorcycles. This study investigated a method to help states determine where to locate sites for motorcycle counts. The research team hoped to find one or more states whose data collection methodology (especially the methods used to identify count sites) could provide an example to guide other states but did not find any. The alternative approach investigated by this research project was the use of motorcycle crashes to determine whether a correlation existed between crash locations and motorcycle counts. Analysis of crashes in four states indicated that locations of motorcycle crashes were reasonably good predictors of where to count motorcycles.

01548337

14-2988

English

pp 49–55

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295314

Print

Figures (5) ; References (14) ; Tables (9)

Location; Methodology; Motorcycle crashes; Motorcycles; Traffic counting stations; Traffic distribution

Data and Information Technology; Highways; Operations and Traffic Management; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 27 2014 3:01PM

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• Estimating Spatially and Temporally Continuous Bicycle Volumes by Using Sparse Data
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• Hybrid Prediction Approach Based on Weekly Similarities of Traffic Flow for Different Temporal Scales
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• Institutionalizing Bicycle and Pedestrian Monitoring Programs in Three States
• Reidentification of Trucks on Basis of Axle-Spacing Measurements to Facilitate Analysis of Weigh-in-Motion Accuracy
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• Software-Based Vehicle Reidentification with Existing Loop Infrastructure
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• Vehicle Length Measurement and Length-Based Vehicle Classification in Congested Freeway Traffic