Transportation agencies across the US rely on Road Weather Information Systems (RWIS) to help predict and manage the impacts of weather on transportation safety and mobility. RWIS monitors temperature, precipitation, and road surface condition from roadside stations. However, these conditions can change rapidly and often vary across a road corridor, to an extent that fixed RWIS stations cannot fully capture, creating a gap in the data collected. Integrating Connected Vehicle (CV) technologies and RWIS can help provide substantially more granular real-time data of the road weather conditions to help fill the gap. This study explores the practical feasibility and emerging technologies necessary for this integration by conducting an extensive literature review and conducting surveys and interviews with transportation agencies. Survey and interview findings reveal resource constraints as a significant barrier to CV-RWIS integration, emphasizing the need for targeted IT, data management, and workforce development investments. Agencies also highlighted the importance of developing standards and protocols to ensure interoperability and compatibility. Recommendations for future research include establishing robust data standards, evaluating hardware and software configurations, and understanding the impacts of CV-RWIS integration on transportation systems. Investments in edge computing, high-speed networks, and cybersecurity are crucial. Workforce development through customized training programs and partnerships with educational institutions is essential to address skill gaps and retain qualified staff. Overall, while the integration of CV and RWIS technologies presents challenges, it holds promise for enhanced road safety and traffic management.
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