To address these challenges, this work introduces a novel hybrid spatial–temporal graph neural network (HSTGNN) for traffic forecasting. In the temporal dimension, we design a decoupling layer to reveal the he
cd HAIKOU-OD python HSTN_HK_train_test.py or cd SHENZHEN-OD python HSTN_SZ_train_test.py Data Source The NYC OD data is provided from Contextualized Spatial–Temporal Network for Taxi Origin-Destination Demand Prediction (https://github.com/liulingbo918/CSTN). The Haikou Didi data was orig...
目前大量的车道线检测方法,无论是segmentation-based、row-based、anchor-basd、parametric- prediction-based, 还是其他”非主流“方法,基本上都是在单图上预测车道线。而利用过去帧的信息补充当前帧中缺失的信息,有利于促进当前帧的预测。 最最近,也有一些方法通过CNN+RNN来建模时序关联。但是他们忽视了车道线的结构...
which enables dynamic adaptation based on terminal capabilities and heterogeneous network, variable resolution is one of the most prominent types of video distortions. In this paper, we propose a new hybrid spatial and temporal distortion metric for evaluating ...
either by slicing first over nodes or slicing first over time. We further propose an approach for predictive compound slicing, which attempts to predict whether a node-based or time-based compound slice is more efficient. We evaluate our hybrid data structure on many real temporal network data ...
In this paper, we proposed a hybrid temporal-spatio forecasting approach to obtain the passenger flow status in HRTH. The approach combined temporal forecasting based on radial basis function neural network (RBF NN) and spatio forecasting based on spatial correlation degree. Computational experiments ...
The convolutional neural network was also used to mine the spatial features and the recurrent neural network to mine the temporal features of traffic flow. We also showed through visualization how DNN-BTF model understands traffic flow data and presents a challenge to conventional thinking about ...
Frame rate up-conversionMulti resolutionMotion vector refinementThis paper presents a method applied in frame rate up-conversion (FRUC) to estimate the motion vector (MV) based on spatial-temporal motion vectors, which have a high correlation with the interpolated block. Meanwhile, a hierarchical ...
In Spatial and Temporal Reasoning for Ambient Intelligence Systems, COSIT 2009 Workshop Proceedings, Aber Wrac'h, France, September 21–25, 2009; Springer: Berlin/Heidelberg, Germany; New York, NY, USA, 2009; pp. 44–53. 39. Lu, F. Shortest Path Algorithms: Taxonomy and Advance in ...
In this paper, we propose a dynamic fault-tolerant workflow scheduling with hybrid spatial-temporal re-execution, called DFTWS. To improve the time efficiency of workflow scheduling, DFTWS separates the scheduling process into initial resource allocation and online workflow scheduling. Meanwhile, DFTWS...