Taxibj dataset
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 … WebNov 7, 2024 · Inflow prediction on TaxiBJ dataset. Full size image. 5 Conclusion and Future Work. In this paper, we propose a regional epitaxial traffic flow prediction method based on generating an adversarial network, which is mainly used to solve the problem of traffic prediction in the surrounding area and additional external information, as well as huge ...
Taxibj dataset
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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. Web(3) We conducted numerous experiments on two publicly available datasets (TaxiBJ and BikeNYC). The results of the experiments demonstrate the effectiveness of our proposed model. The outline of the remaining sections is as follows. Section 2 …
WebAug 1, 2024 · TaxiBJ [12]: The public TaxiBJ dataset contains taxi demand in Beijing from 1 Mar 2015 to 30th Jun 2015. Similar to the DidiSY dataset, TaxiBJ contains passenger … WebJan 1, 2024 · The Q-traffic dataset is a similar trace to the TaxiBJ, collected from 01/04/2024 to 31/05/2024, but the interval time is 15 min rather than 6 min Hou et al. (2024). We also used XiAn Road Traffic dataset that has been recently collected (24-08-2024 to 24-10-2024) at 2 min time interval.
WebJun 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 … 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...
WebFeb 10, 2024 · The evaluations of extensive experiments on two real-world datasets demonstrate the superiority of our framework. Especially when dealing with a sparse dataset, our method reduces error by 15.02% to the state-of-the-art baselines. Keywords Urban computing Super resolution Deep learning Attention mechanism Download …
WebFeb 25, 2024 · Datasets. Two datasets were used in our experiments, including TaxiBJ and HappyValley. The former is the fine-grained version of the ones used by and the … toby rogers clyde \u0026 coWebApr 26, 2024 · 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 … toby rogers substackWebThis 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 … tobyrogers.substackWebDec 9, 2024 · GitHub - yoshall/UrbanFM: Pytorch Implement of Urban Flow Magnifier (UrbanFM), KDD-19. Pytorch Implement of Urban Flow Magnifier (UrbanFM), KDD-19 - … toby rogers phdWebSep 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 toby rogers x readerWebDec 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 ... penny stock 2021 indiaWebVLUC (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 … toby rogers twitter