Data-Driven Traffic Management and Sustainable Infrastructure Under Adverse Weather Conditions

Dear Colleagues,

As climate change increases the frequency and severity of extreme weather events, ensuring the resilience and sustainability of transportation networks has become a critical challenge. In this Special Issue, we aim to explore innovative, data-driven approaches to understanding and mitigating the impacts of adverse weather—particularly winter conditions—on traffic operations and infrastructure management.

We seek high-quality research that bridges the gap between theoretical traffic flow modelling and practical maintenance strategies. Topics of interest include, but are not limited to, the following:

• Vehicle-specific (passenger cars vs. trucks) responses to combined weather stressors.
• Identification of critical weather thresholds for traffic reduction and safety.
• Advanced data analytics (e.g., Weigh-in-Motion, Big Data) for weather-responsive traffic management.
• Optimization of tiered road maintenance and resource allocation.
• Environmental sustainability and climate resilience in winter operations (e.g., reducing chemical usage and carbon footprint).
• The role of Intelligent Transportation Systems (ITSs) in enhancing corridor resilience during severe weather.
• Performance of Connected and Autonomous Vehicles (CAVs) under adverse weather.
• Real-time weather-traffic data fusion technologies.
• Digital twin applications in winter road management.

Dr. Hyuk Jae Roh
Guest Editor

Manuscript Submission Information

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