Integrating Vehicle Probe Speed and Crash Data for Statewide Traffic and Road Safety Enhancement

Abstract

The integration of crash data with vehicle probe speed segment data represents a potential advancement in traffic management and road safety. Traditional crash analysis often relies on aggregated or outdated information, limiting the ability to proactively identify and mitigate risk. This study presents a comprehensive and replicable framework for integrating crash data with segment-based vehicle probe speed data. The methodology employs spatial analysis techniques, using customized buffer distances based on functional roadway classification and lane count, to accurately link crashes with corresponding speed segments, achieving an integration success rate of 77% which demonstrating the approach’s reliability and its suitability for large-scale applications. The integrated dataset shows the potential for more precise identification of high-risk areas and may enhance an agency’s ability to develop proactive safety strategies. By addressing spatial and directional alignment challenges, this framework provides a practical pathway for multi-source data integration, offering valuable insights for regions seeking to strengthen traffic safety through real-time data use.