Evaluating Fuzzed Connected Vehicle Data to Support Travel Demand Modeling

The Virginia Department of Transportation (VDOT) is currently developing a method to use connected vehicle (CV) data to support the development of travel demand models. The work includes estimating nuanced information about trip time, trip distance, and path patterns with fine geographic and temporal resolution. CV trajectory data providers may use algorithms that affect the raw vehicle trajectory data for privacy reasons. These algorithms may affect the feasibility, accuracy, and robustness of VDOT’s application of CV data for planning purposes. This project assesses the impact of such algorithms used by two different CV trajectory data providers on potential VDOT application scenarios related to calibration and validation of transportation planning models. This research will further assess the potential of using such data to support the development of truck ODs, and if feasible, a valuable enhancement to the current VDOT truck origin-destination (OD) estimation procedure.