The prediction of future wireless traffic volumes using artificial intelligence (AI) would allow communication systems to automatically adjust network resources to maximize reliability. KAUST researchers have now developed a more accurate "dual attention" prediction scheme that minimizes the volume of predict...
To enhance prediction accuracy, the output of the individual ANN predictors are combined using different combination schemes. An adaptive updating scheme is used in both of the ANNs and combination schemes. This adaptation makes the predictors dynamic and allows them to capture the non-stationary ...
Traffic Flow Prediction is the process of using data fusion techniques to forecast traffic density, travel time, and speed in order to enhance routing, dispatching, and congestion management within intelligent transportation systems. AI generated definition based on: Information Fusion, 2023 ...
This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc. infrastructurepaperdatasetstraffic-dataspatio-temporaldemand-forecastinggraph-convolutional-networkstraffic-predictiontraffic-flowurban-comput...
Electricity consumption prediction using XGBoost based on discrete wavelet transform. DEStech Trans Comput Sci Eng https://doi.org/10.12783/dtcse/aiea2017/1500. Li Y, Chai S, Ma Z, Wang G (2021) A Hybrid Deep Learning Framework for Long-Term Traffic Flow Prediction. IEEE Access 9:11264–...
Traffic Speed.The\(\mathtt{Traffic\text {-}Speed}\)problem aims to forecast the speed of cars on roads. Similar to other traffic forecasting problems, instead of using general time series prediction methods (i.e., HA and ARIMA), people recently apply many deep learning methods. Firstly, so...
Mobile Traffic Prediction in Consumer Applications: A Multimodal Deep Learning Approach 2024, IEEE Transactions on Consumer Electronics At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligence 2024, IEEE Open Journal of the Communications Society ...
Transportation is the number one source of planet-warming emissions in the U.S. A new project from Google is using AI to cut down on stop-and-go traffic, which in turn will help reduce emissions. Ben Tracy has the story.Jan 3, 2024 ...
【机器学习实战入门】使用CNN和Keras进行交通标志识别,准确率达到95% Traffic Signs Recognition with 95% Accuracy using CNN&Keras 什么是交通标志识别? 交通标志有很多种,如限速标志、禁止进入、交通信号灯、左转或右转、儿童过街、禁止重型车辆通行等。交通标志分类是识别交通标志属于哪一类的过程。
This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc. infrastructurepaperdatasetstraffic-dataspatio-temporaldemand-forecastinggraph-convolutional-networkstraffic-predictiontraffic-flowurban-comput...