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.
Universities Involved
University of Virginia
Principal Investigators
B. Brian Park,
Andrew Mondschein
Expected Research Outcomes & Impacts
The application of this research will transform residential road safety management by providing transportation agencies and communities with data-driven tools for identifying and addressing speeding issues in neighborhoods. Local transportation agencies will gain enhanced capabilities to prioritize traffic calming interventions based on actual speeding behavior patterns rather than complaint-driven responses, enabling more effective resource allocation for safety improvements. Communities will benefit from targeted public awareness and education campaigns focused on specific locations and time periods with documented speeding problems, particularly in areas with high pedestrian and bicycle activity. The identification procedures will enable continuous monitoring of residential road safety conditions, supporting proactive rather than reactive approaches to traffic calming implementation. Transportation planners will gain valuable insights into relationships between roadway design elements, land use patterns, and speeding behaviors, informing future residential street design standards and retrofit strategies. The research outcomes will provide local advocates and community organizations with evidence-based information for promoting safety improvements and supporting policy changes. Long- term impacts include potential integration of speeding data into popular navigation applications beyond current congestion-only displays, enhancing public awareness of safety risks. The methodological framework developed for Charlottesville and Albemarle County will be transferable to other jurisdictions, supporting broader deployment of connected vehicle data for residential road safety analysis.
Subject Areas
Safety, Connected and Automated Vehicles
