Resultado de búsqueda
Traffic flow prediction is an essential part of the intelligent transport system. This is the accurate estimation of traffic flow in a given region at a particular interval of time in the future. The study of traffic forecasting is useful in mitigating congestion and make safer and cost-efficient travel.
- Download PDF
Abstract: Traffic flow prediction is an essential part of...
- Download PDF
9 de mar. de 2023 · Traffic flow forecasting is a major component of traffic modeling, operation, and management. Accurately predicting traffic flows in real-time can give information and recommendations for road travelers to enhance their travel choices and decrease expenses, in addition to supplying authorities with enhanced traffic control tactics to ...
1 de sept. de 2022 · An effective forecast of traffic flow helps alleviate the spread of congestion, reducing pollutant emissions caused by the fuel consumption [6], positively impacting the sustainability of cities.
9 de dic. de 2020 · Volume 182, 9 December 2020, 107484. Survey paper. Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems. Azzedine Boukerche. , Yanjie Tao. , Peng Sun. Show more. Add to Mendeley. https://doi.org/10.1016/j.comnet.2020.107484 Get rights and content.
9 de ene. de 2020 · Abstract: Traffic forecasting has emerged as a core component of intelligent transportation systems. However, timely accurate traffic forecasting, especially long-term forecasting, still remains an open challenge due to the highly nonlinear and dynamic spatial-temporal dependencies of traffic flows.
ABSTRACT. Spatial-temporal forecasting has attracted tremendous attention in a wide range of applications, and traffic flow prediction is a canonical and typical example. The complex and long-range spatial-temporal correlations of traffic flow bring it to a most intractable challenge. Existing works typically utilize shallow graph convolution ...
7 de nov. de 2022 · Traffic flow forecasting is a critical component in intelligent transportation system (ITS) [ 1 ]. The forecasting accuracy of future traffic flow has been improved by deep learning techniques [ 2, 3, 4 ].
