Region-Wide Traffic Performance Evaluation and Performance Measure Development Using Multi-Source Data

Co-PI: Xiaofeng Li, Ph.D.

The goal of this study is to investigate the sources of traffic data and develop a method to support PAG’s regional TSMO-related traffic data collection/maintenance and advanced modeling. This project will focus on identifying the traffic mobility/reliability performance measures out of video- and event-based traffic data and crowdsourced data. As a final output, the project will develop cost-effective regional TSMO-related performance measures as well as enhancing a QA/QC procedure and data integration based on the previous project “Comparative Analysis and Integration of Region-Wide Traffic Data” exploring the regional traffic volume data sources and developing a model estimating turning movement count using event-based data.