Impact of Rain Intensity on Interstate Traffic Speeds Using Connected Vehicle Data
نویسندگان
چکیده
With the emergence of connected vehicle data and high-resolution weather data, there is an opportunity to develop models with high spatial-temporal fidelity characterize impact on interstate traffic speeds. In this study, 275,422 trip records from 41,234 unique journeys 42 rainy days in 2021 2022 were obtained. These are categorized as no rain, slight moderate heavy very rain periods using precipitation rate NOAA High-Resolution Rapid-Refresh (HRRR) data. It was observed that average speeds decreased by approximately 8.4% during conditions classified compared rain. Similarly, interquartile range increased 8.34 mph 12.24 intensity increased. This study also developed a disaggregate approach logit relationship between weather-related variables (precipitation rate, visibility, temperature, wind, day or night) speed reductions. Estimation results reveal odds ratio reducing 5.8% higher for drivers if 1 mm/h. The headwind found have positive significant only up 10% reduction, reduction greater nighttime daytime factor 1.68. additional explanatory shed light drivers’ selection adverse environments, providing more information than single measure. Results will be particularly helpful agencies automobile manufacturers provide advance warnings establish thresholds autonomous control.
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ژورنال
عنوان ژورنال: Vehicles
سال: 2023
ISSN: ['2624-8921']
DOI: https://doi.org/10.3390/vehicles5010009