Taxibj dataset

Author: dvcc

August undefined, 2024

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. WebSep 13, 2024 · Finally, this paper experimented with the FASTNN on two large-scale real datasets, including Taxi trip data in Beijing and bike-sharing data in New York, and the performance results with the baseline show the effectiveness of the FASTNN. The contributions of this paper can be summarized as follows: (1)

ST-DCN: A Spatial-Temporal Densely Connected Networks for

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 ... nantes cape town

Deep spatial–temporal sequence modeling for multi-step

Web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) … 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 22, 2024 · The root mean square errors of the DCAST model in two real datasets of taxis in Beijing (TaxiBJ) and bikes in New York (BikeNYC) are 15.70 and 5.53, respectively. The experimental results show that the results are more accurate and reliable than that of the baseline model. mehsana to statue of unity distance

DL-Traff: Survey and Benchmark of Deep Learning Models …

Visual comparison of predicted flow maps of different variants on ...

WebApr 1, 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 … 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. nantes boat tripWebSep 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 mehsana to rann of kutch

"WebHowever, 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 … " - Taxibj dataset

Taxibj dataset

T-Drive trajectory data sample - Microsoft Research

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 … WebThis 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 …

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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 … 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 …

Web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 … WebDec 9, 2024 · GitHub - yoshall/UrbanFM: Pytorch Implement of Urban Flow Magnifier (UrbanFM), KDD-19. Pytorch Implement of Urban Flow Magnifier (UrbanFM), KDD-19 - …

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 … WebApr 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 …

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 ...

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 … nantes bouffayWebDownload scientific diagram Visualization of MFR module for TaxiBJ dataset. from publication: FASTNN: A Deep Learning Approach for Traffic Flow Prediction Considering … nantes creative generationWebAug 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 demand, time meta, and meteorological data. Each time step is 30 min in this dataset. Last ten days data are chosen as testing data. 5.2. Experiment settings nantes clermont streaming gratuitWebApr 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 … nantes cherbourg trainWebFeb 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 … mehsana to tharad distanceWebJun 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 … nantes chu piste helicoptereWebJan 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. nantes chateau