Abstract
Over the last century, the planet has metaphorically contracted as transport has developed to meet the demands of the populous. Global participation in this expansion has been disproportionate as the driving force for transport demand is ultimately economic growth, which in itself results in an increased need for travel. The activities of the transport systems in most countries are sensitive to a range of weather extremes, including those related to precipitation, thunderstorms, temperature, winds, visibility and sea level. The impact of climate, climate variability and climate change, in particular the impact of these extremes on transport systems and adaptation measures are discussed. The foundation of climate services to assist informed decision-making for climate change adaptation and travelling time prediction, planning and designing, which require close collaboration among a wide range of Disciplines and the engagement of the users such as the transport systems’ communities by using the weather-traffic indices extracted have been validated to be surprisingly consistent with real world observations.
Key-Words / Index Term
Weather prediction, Traffic parameters count, Support vector machine, Neural networks, Factor analysis
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