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https://www.nationalacademies.org/trb/events

Investigating Residential Road Speeding by Leveraging Connected Vehicle Data

This research addresses speeding issues on residential roads that frequently result in crashes involving non-motorized road users by utilizing connected vehicle data to investigate speeding behaviors where traditional data collection is costly and time-intensive. The study leverages Wejo telematics data provided by Virginia Department of Transportation combined with crash data to analyze residential road speeding patterns in the Charlottesville area and Albemarle County. The methodology develops procedures to reduce large connected vehicle datasets by filtering residential roads through open street mapping, counting speeding events exceeding posted limits by 10-15 mph, and normalizing by total vehicle events. The research explores correlations between speeding frequencies and crashes involving pedestrians and cyclists on residential segments, recognizing that while crash correlations may be limited due to rare event nature, frequent speeding locations can support continuous monitoring and public awareness efforts. Analysis includes temporal patterns comparing day versus nighttime speeding, school zone hour violations, land use factors, and roadway design elements including curb parking, lane widths, and existing traffic calming interventions. The project addresses critical gaps in residential road speeding research by combining real-world vehicle telematics analysis with police-reported crash records to establish foundations for data-driven safety interventions.