Advances in Transportation Meteorology
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, i...
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| Formato: | Online |
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| Idioma: | inglês |
| Publicado em: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Acesso em linha: | ONIX_20230911_9783036584614_12 |
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| _version_ | 1869523283615940608 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-113879 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1138792024-04-11T15:11:08Z Advances in Transportation Meteorology Liu, Duanyang Wang, Hongbin Zhu, Shoupeng transportation meteorology pavement temperature prediction deep learning BiLSTM attention mechanisms winter icing air pollution traffic vitality built environment spatial correlation spatial lag model phone signaling data air quality behavioral habits activity density population distribution land use mix wind forecast error decomposition bias distribution sequence urban meteorology observation forecast early warning review China low-level wind shear ensemble learning classifiers Bayesian optimization SHapley Additive exPlanations wind shear go-around machine learning dynamic ensemble selection civil aviation safety pilot reports self-paced ensemble Shapley additive explanations climate change climatology sea ice marginal sea East Asia time-series modeling pavement temperature nowcasting variation characteristics forecast validation relative humidity microwave radiometer data total rainfall precipitation duration vertical distribution Beijing–Tianjin–Hebei region rail breakage frequency high-speed railway Siberian high teleconnection temperature Qinling mountains rainfall change characteristics geographical factors highways road blockage fuzzy analytic hierarchy process CRITIC weight assignment method road network vulnerability spatiotemporal distribution precipitation forecast ConvLSTM PredRNN expressway agglomerate fog risk level prediction of fog-related accidents meteorological conditions road hidden dangers traffic flow conditions visibility Yellow Sea and Bohai Sea observation data thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades 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. 2023-09-11T11:49:29Z 2023-09-11T11:49:29Z 2023 book ONIX_20230911_9783036584614_12 9783036584614 9783036584607 https://directory.doabooks.org/handle/20.500.12854/113879 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/7720 https://mdpi.com/books/pdfview/book/7720 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-8460-7 10.3390/books978-3-0365-8460-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036584614 9783036584607 304 open access |
| spellingShingle | transportation meteorology pavement temperature prediction deep learning BiLSTM attention mechanisms winter icing air pollution traffic vitality built environment spatial correlation spatial lag model phone signaling data air quality behavioral habits activity density population distribution land use mix wind forecast error decomposition bias distribution sequence urban meteorology observation forecast early warning review China low-level wind shear ensemble learning classifiers Bayesian optimization SHapley Additive exPlanations wind shear go-around machine learning dynamic ensemble selection civil aviation safety pilot reports self-paced ensemble Shapley additive explanations climate change climatology sea ice marginal sea East Asia time-series modeling pavement temperature nowcasting variation characteristics forecast validation relative humidity microwave radiometer data total rainfall precipitation duration vertical distribution Beijing–Tianjin–Hebei region rail breakage frequency high-speed railway Siberian high teleconnection temperature Qinling mountains rainfall change characteristics geographical factors highways road blockage fuzzy analytic hierarchy process CRITIC weight assignment method road network vulnerability spatiotemporal distribution precipitation forecast ConvLSTM PredRNN expressway agglomerate fog risk level prediction of fog-related accidents meteorological conditions road hidden dangers traffic flow conditions visibility Yellow Sea and Bohai Sea observation data thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades Advances in Transportation Meteorology |
| title | Advances in Transportation Meteorology |
| title_full | Advances in Transportation Meteorology |
| title_fullStr | Advances in Transportation Meteorology |
| title_full_unstemmed | Advances in Transportation Meteorology |
| title_short | Advances in Transportation Meteorology |
| title_sort | advances in transportation meteorology |
| topic | transportation meteorology pavement temperature prediction deep learning BiLSTM attention mechanisms winter icing air pollution traffic vitality built environment spatial correlation spatial lag model phone signaling data air quality behavioral habits activity density population distribution land use mix wind forecast error decomposition bias distribution sequence urban meteorology observation forecast early warning review China low-level wind shear ensemble learning classifiers Bayesian optimization SHapley Additive exPlanations wind shear go-around machine learning dynamic ensemble selection civil aviation safety pilot reports self-paced ensemble Shapley additive explanations climate change climatology sea ice marginal sea East Asia time-series modeling pavement temperature nowcasting variation characteristics forecast validation relative humidity microwave radiometer data total rainfall precipitation duration vertical distribution Beijing–Tianjin–Hebei region rail breakage frequency high-speed railway Siberian high teleconnection temperature Qinling mountains rainfall change characteristics geographical factors highways road blockage fuzzy analytic hierarchy process CRITIC weight assignment method road network vulnerability spatiotemporal distribution precipitation forecast ConvLSTM PredRNN expressway agglomerate fog risk level prediction of fog-related accidents meteorological conditions road hidden dangers traffic flow conditions visibility Yellow Sea and Bohai Sea observation data thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades |
| topic_facet | transportation meteorology pavement temperature prediction deep learning BiLSTM attention mechanisms winter icing air pollution traffic vitality built environment spatial correlation spatial lag model phone signaling data air quality behavioral habits activity density population distribution land use mix wind forecast error decomposition bias distribution sequence urban meteorology observation forecast early warning review China low-level wind shear ensemble learning classifiers Bayesian optimization SHapley Additive exPlanations wind shear go-around machine learning dynamic ensemble selection civil aviation safety pilot reports self-paced ensemble Shapley additive explanations climate change climatology sea ice marginal sea East Asia time-series modeling pavement temperature nowcasting variation characteristics forecast validation relative humidity microwave radiometer data total rainfall precipitation duration vertical distribution Beijing–Tianjin–Hebei region rail breakage frequency high-speed railway Siberian high teleconnection temperature Qinling mountains rainfall change characteristics geographical factors highways road blockage fuzzy analytic hierarchy process CRITIC weight assignment method road network vulnerability spatiotemporal distribution precipitation forecast ConvLSTM PredRNN expressway agglomerate fog risk level prediction of fog-related accidents meteorological conditions road hidden dangers traffic flow conditions visibility Yellow Sea and Bohai Sea observation data thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades |
| url | ONIX_20230911_9783036584614_12 |