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首页> 外文期刊>Network Daily News >New Big Data Findings Has Been Reported by Investigators at Tongji University (Dstagcn: Dynamic Spatial-temporal Adjacent Graph Convolutional Network for Traffic Forecasting)
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New Big Data Findings Has Been Reported by Investigators at Tongji University (Dstagcn: Dynamic Spatial-temporal Adjacent Graph Convolutional Network for Traffic Forecasting)

机译:New Big Data Findings Has Been Reported by Investigators at Tongji University (Dstagcn: Dynamic Spatial-temporal Adjacent Graph Convolutional Network for Traffic Forecasting)

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By a News Reporter-Staff News Editor at Network Daily News – Data detailedon Information Technology - Big Data have been presented. According to news reporting originating fromShanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Capturing complexand dynamic spatial-temporal dependencies of traffic data is of great importance for accurate and real-timetraffic forecasting in intelligent transportation systems. The spatial-temporal dependency between trafficlocations is often dynamic, which means the correlation between the traffic status of different locationschanges jointly over their spatial distance and the time slice they are in.”
机译:由一个新闻记者在网络新闻编辑每日新闻》,详细的数据技术——大数据已经提交。据新闻报道原始从NewsRx记者、研究说,“捕捉复杂的的交通数据的依赖为准确、实时的重要性在智能交通预测系统。交通的交通状况之间的关系不同的位置空间距离和时间片。”

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    《Network Daily News 》 |2023年第10期| 44-45| 共2页
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