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This dissertation explores the use of connected vehicle (CV) data to enhance traveler information systems (TIS). It focuses on developing methodologies for predicting future market penetration of connected vehicles, evaluating their effectiveness in providing reliable travel time and volume estimates, and establishing a timeline for agencies to transition from traditional data collection methods to CV technology. The research includes analysis of real-world and simulated vehicle trajectory...
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Connected Vehicle Technology Traveler Information Systems Traffic Data Collection Travel Time Estimation Traffic Volume Estimation Market Penetration Forecast Civil Engineering Transportation Engineering Advanced Traffic Management Simulation Modeling

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