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Spatiotemporal Deep-Learning Networks for Shared-Parking Demand Prediction
| 题名： | Spatiotemporal Deep-Learning Networks for Shared-Parking Demand Prediction |
| 正文语种： | eng |
| 作者： | Liu, Yonghong;Liu, Chunyu;Luo, Xia |
| 作者单位： | Southwest Jiaotong Univ Sch Transportat & Logist Natl United Engn Lab Integrated & Intelligent Tra Chengdu 611756 Peoples R China;Southwest Jiaotong Univ Sch Transportat & Logist Natl United Engn Lab Integrated & Intelligent Tra Chengdu 611756 Peoples R China;Southwest Jiaotong Univ Sch Transportat & Logist Natl United Engn Lab Integrated & Intelligent Tra Chengdu 611756 Peoples R China |
| 关键词： | Shared-parking demand;Deep learning;Spatial dependency;Temporal dependency;Periodically shifted features |
| 摘要： | One fundamental issue in managing a shared-parking system is predicting shared-parking demand. Such predictions are very challenging because predicting shared-parking demand usually involves nonlinearities and complex spatiotemporal dependencies. In this paper, we propose a deep learning-based network comprising of three modeling components-CNN-Module, Conv-LSTM-Module, and LSTM-Module-to predict the shared-parking inflow and outflow in each region of a shared-parking system. First, the CNN-Module utilized convolution neural networks to determine local spatial dependencies. Second, the Conv-LSTM-Module leveraged the Conv-LSTM neural network to capture similarities of shared-parking demand across different regions. Finally, the LSTM-Module was applied to model temporal features by using the Long Short-Term Memory (LSTM) network. Moreover, we also divided the input into three components (recent, daily, and weekly) to extract the periodically shifted relations. The model was evaluated using a real-world shared-parking data set in Chengdu, China. Experiments showed that our model outperforms six other well-known baseline methods within an acceptable time frame. Extensive additional experiments and evaluations were conducted to investigate the sensitivity of our model. |
| 出版年： | 2021 |
| 期刊名称： | Journal of Transportation Engineering |
| 卷： | 147 |
| 期： | 6 |
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