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Spatiotemporal prediction of water quality and ecological risk assessment in a river basin using T-GCN based on river network topology constraints. [PDF]
Sci RepLi L.
europepmc +1 more source
Modeling hospital catchment areas in pediatric oncology using an empirically parameterized extended Huff-model. [PDF]
Int J Health GeogrKapitza J, Wieland T, Metzler M.
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Urban tourist volume forecasting using internet search trends and deep learning methods. [PDF]
Front Artif IntellSong C, Wang Z.
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Travel-Time Prediction With Support Vector Regression [PDF]
IEEE Transactions on Intelligent Transportation Systems, 2004 Travel time is a fundamental measure in transportation. Accurate travel-time prediction also is crucial to the development of intelligent transportation systems and advanced traveler information systems. We apply support vector regression (SVR) for travel-time prediction and compare its results to other baseline travel-time prediction methods using ...
Jan-Ming Ho, D T Lee, Chun-Hsin Wu
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Multimodal Traffic Travel Time Prediction
2021 International Joint Conference on Neural Networks (IJCNN), 2021With the continuous growth of urban population, it is urgent for people to accurately plan the travel time. Therefore, travel time prediction of urban areas has become a key research direction in the field of smart cities. At present, several studies on travel time prediction are only conducted on a single mode, where the prediction process only treats
Shizhen Fan +3 more
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Prediction Intervals to Account for Uncertainties in Travel Time Prediction
IEEE Transactions on Intelligent Transportation Systems, 2011The accurate prediction of travel times is desirable but frequently prone to error. This is mainly attributable to both the underlying traffic processes and the data that are used to infer travel time. A more meaningful and pragmatic approach is to view travel time prediction as a probabilistic inference and to construct prediction intervals (PIs ...
Abbas Khosravi +2 more
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Travel Time Prediction on Highways
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015We describe the development of a predictive model for vehicle journey time on highways. Accurate travel time prediction is an important problem since it enables planning of cost effective vehicle routes and departure times, with the aim of saving time and fuel while reducing pollution.
Jan Rupnik +4 more
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Transportation Research Record: Journal of the Transportation Research Board, 2008
As reported in the literature for the applications of intelligent transportation systems with traffic detectors, various missing data patterns are frequently observed in such systems and may dramatically degrade their performance. This study presents two imputation approaches for contending with the missing data issues in travel time prediction.
Jianwei Wang, Nan Zou, Gang-Len Chang
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As reported in the literature for the applications of intelligent transportation systems with traffic detectors, various missing data patterns are frequently observed in such systems and may dramatically degrade their performance. This study presents two imputation approaches for contending with the missing data issues in travel time prediction.
Jianwei Wang, Nan Zou, Gang-Len Chang
openaire +1 more source