Multi-scale persistent spatiotemporal transformer for long-term urban traffic flow predictionOA北大核心

作者：Jia-Jun Zhong;Yong Ma;Xin-Zheng Niu;Philippe Fournier-Viger;Bing Wang;Zu-kuan Wei

作者单位：School of Computer Science and Engineering,University of Electronic Science and Technology of China,Chengdu,611731,ChinaSchool of Computer Science and Engineering,University of Electronic Science and Technology of China,Chengdu,611731,ChinaSchool of Computer Science and Engineering,University of Electronic Science and Technology of China,Chengdu,611731,ChinaCollege of Computer Science&Software Engineering,Shenzhen University,Shenzhen,518060,ChinaSchool of Computer Science,Southwest Petroleum University,Chengdu,610500,ChinaSchool of Computer Science and Engineering,University of Electronic Science and Technology of China,Chengdu,611731,China

中文关键词：Graph neural networkMulti-head attention mechanismSpatio-temporal dependencyTraffic flow prediction

英文关键词：Graph neural networkMulti-head attention mechanismSpatio-temporal dependencyTraffic flow prediction

刊名：《电子科技学刊》 2024 (1)

页码/页数：53-69,17

基金：This work is supported by the National Natural Science Foundation of China under Grant No.62272087Science and Technology Planning Project of Sichuan Province under Grant No.2023YFG0161.

DOI：10.1016/j.jnlest.2024.100244