Advances in Transportation Meteorology

• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2023
• Descrizione fisica: 1 online resource (304 p.)
• Soggetto topico: History of engineering and technology; Technology: general issues; Transport technology and trades
• Soggetto non controllato: activity density; agglomerate fog; air pollution; air quality; attention mechanisms; Bayesian optimization; behavioral habits; Beijing-Tianjin-Hebei region; bias; BiLSTM; built environment; change characteristics; China; civil aviation safety; climate change; climatology; ConvLSTM; CRITIC weight assignment method; deep learning; distribution; dynamic ensemble selection; early warning; East Asia; ensemble learning classifiers; error decomposition; expressway; forecast; forecast validation; frequency; fuzzy analytic hierarchy process; geographical factors; go-around; high-speed railway; highways; land use mix; low-level wind shear; machine learning; marginal sea; meteorological conditions; microwave radiometer data; nowcasting; observation; observation data; pavement temperature; pavement temperature prediction; phone signaling data; pilot reports; population distribution; precipitation duration; precipitation forecast; PredRNN; Qinling mountains; rail breakage; rainfall; relative humidity; review; risk level prediction of fog-related accidents; road blockage; road hidden dangers; road network vulnerability; sea ice; self-paced ensemble; sequence; Shapley additive explanations; SHapley Additive exPlanations; Siberian high; spatial correlation; spatial lag model; spatiotemporal distribution; teleconnection; temperature; time-series modeling; total rainfall; traffic flow conditions; traffic vitality; transportation meteorology; urban meteorology; variation characteristics; vertical distribution; visibility; wind forecast; wind shear; winter icing; Yellow Sea and Bohai Sea
• Sommario/riassunto: Transportation is one of the most crucial aspects across the world, supporting the daily life of human beings and the sustainable development of the whole of society. Generally, meteorology causes various impacts on transportation operation, safety and efficiency. In the context of global warming, increasing numbers of extreme weather and climate events (such as fog, icy roads, and extreme winds) have been detected worldwide and are expected to occur more frequently in the future. Meanwhile, extreme events, such as dense fog, rainstorm, and blizzard, tend to damage transportation and traffic facilities (such as express ways, port, airport, and high-speed railway) and induce serious traffic blocks and accidents. In recent decades, concentrated and continuous efforts have been made to carry out meteorological analyses regardless of urban traffic or transportation conditions, including those of highways, shipping, aviation, etc. A number of methods and techniques have been intensively developed to promote the qualities of both observations and forecasts. More recently, state-of-the-art machine learning frameworks have also been widely introduced into studies regarding transportation meteorology and many other fields.
• Titolo autorizzato: Advances in Transportation Meteorology
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910743274703321
• Lo trovi qui: Univ. Federico II