WebSep 2, 2024 · Fig. 1: Visualization of two crowd flow maps in Beijing and New York City. Following previous work [], we partition a city into a grid map based on the longitude and latitude and generate the historical crowd flow maps by measuring the number of crowd in each region with mobility data.The weight of a specific grid indicates the flow density of … WebDownload scientific diagram Visualization of MFR module for TaxiBJ dataset. from publication: FASTNN: A Deep Learning Approach for Traffic Flow Prediction Considering …
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WebSep 13, 2024 · In this paper, two traffic flow datasets, TaxiBJ and BikeNYC, were used to verify the performance of the FASTNN, and the details of the two datasets were shown …
WebFeb 22, 2024 · We evaluate the performance of our proposed network on traffic flow datasets, and the experimental results show that the parameters of the model are significantly reduced under the condition of similar prediction accuracy compared with the traditional convolutional recurrent network. 1. Introduction WebFeb 6, 2024 · It achieves state-of-the-art results on Moving MNIST and TaxiBJ datasets in numbers of metrics comparing with previous models. Numerous detailed qualitative and quantitative experiments have demonstrated the importance of context interactions and multi-scale spatiotemporal flows in video prediction.
WebDec 7, 2024 · TaxiBJ : The public dataset TaxiBJ was collected in Beijing from November 1, 2015 to January 21, 2016. It contains passenger demand, passenger inflow, time meta, meteorological data, and each time step is 30 min. Consistent with Hefei, after processing, we obtained two datasets with time intervals of 30 min and 1 h in the \(15\times 15 ... WebVisual comparison of predicted flow maps of different variants on TaxiBJ dataset. The first two columns are inflow maps and the other two columns are outflow maps. The first row is the ground...
WebAug 17, 2024 · TaxiBJ Dataset. The dataset includes more than 34,000 taxis and 22,459 time intervals, generated from the Beijing taxis GPS trajectory data. The time interval is half an hour, and the grid size is 32 × 32. The auxiliary information contains temperature, wind velocity, 41 kinds of the festival, and 16 types of weather conditions. The dataset is ...
Webgrid-based and graph-based datasets and pick up some open and widely used ones as our benchmark data including TaxiBJ, BikeNYC, TaxiNYC, METR-LA, PeMS-BAY, and PeMSD7M. Next, in Section 4, we decompose the models into spatial and temporal units and give the roadmap that how the models evolve along the spatial and tem-poral axis. conway formal dressesWebJun 30, 2024 · NYC Dataset The traffic dataset of New York City is a commonly used dataset in traffic prediction problems, mainly including taxi traffic data and bicycle traffic … conway forestry ltdWebVLUC (Video-Like Urban Computing) is a benchmark for video-like computing on citywide traffic density and crowd prediction. It consists of two new datasets BousaiTYO and … familia beach abattaWebThis is a sample of T-Drive trajectory dataset that contains a one-week trajectories of 10,357 taxis. The total number of points in this dataset is about 15 million and the total distance … conway freedom festWebApr 26, 2024 · However, some well-known datasets, for example, TaxiBJ, become unavailable when the original sharing links are deleted as the data providers move to new jobs. As an alternative choice, TaxiBJ21 is proposed in this letter for future crowd flow prediction studies. This new open dataset contains the taxi inflow and outflow matrices in … familia barcelona cathedralWeb一、 TaxiBJ ，北京出租车数据集，郑宇，"BJ15_M32x32_T30_InOut.h5"，原始数据shape= (5596,2, 32,32 )，"2"代表出 In/Out 两种流量。 备注：数据应用在 ST-ResNet （AAAI17，郑宇的经典，该领域的里程碑）中。 二、 METR-LA ，洛杉矶高速路数据集，"metr-la.h5"，原始数据shape= (12,6850, 207 )——间隔5分钟，预测未来1小时 (12,207,2)-> (12,207,1) … conway foundation cincinnatiWebSep 15, 2024 · Extensive experiments are conducted on two large-scale urban flow datasets in Beijing and Guangzhou, which demonstrate STS-GAN achieves state-of-the-art performance compared with existing methods. Keywords Spatial-temporal data mining Urban flow prediction Generative Adversarial Networks Neural network models familia basket schio women