Traffic congestion prediction based on long-short term memory neural network models | |
Chen, M.; Yu, G.; Chen, P.; Wang, Y. | |
2018 | |
会议名称 | CICTP 2017: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation - Proceedings of the 17th COTA International Conference of Transportation Professionals |
关键词 | Brain Complex networks Deep learning Forecasting Long short-term memory Motor transportation Speed Urban transportation Congestion prediction Learning Theory Mathematical equations Simulation technique Spatial correlations Temporal and spatial correlation Traffic speed Transportation researchers Traffic congestion |
卷号 | 2018-January |
页码 | 673-681 |
URL标识 | 查看原文 |
内容类型 | 会议论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/5933889 |
专题 | 北京航空航天大学 |
推荐引用方式 GB/T 7714 | Chen, M.,Yu, G.,Chen, P.,et al. Traffic congestion prediction based on long-short term memory neural network models[C]. 见:CICTP 2017: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation - Proceedings of the 17th COTA International Conference of Transportation Professionals. |
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