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AUTOSIM:Automated Urban Traffic Operation Simulation via Meta-Learning

Yuanqi Qin Wen Hua Junchen Jin Jun Ge Xingyuan Dai Lingxi Li Xiao Wang Fei-Yue Wang

自动化学报（英文版）2023，Vol.10Issue(9)：1871-1881,11.

自动化学报（英文版）2023，Vol.10Issue(9)：1871-1881,11.DOI:10.1109/JAS.2023.123264

AUTOSIM:Automated Urban Traffic Operation Simulation via Meta-Learning

Yuanqi Qin ¹Wen Hua ²Junchen Jin ³Jun Ge ¹Xingyuan Dai ⁴Lingxi Li ⁵Xiao Wang ⁶Fei-Yue Wang⁴

作者信息

1. Zhejiang Lab,Hangzhou 310030,China
2. ECARX Technology Co.,Ltd.,Shanghai 201811,China
3. Zhejiang Supcon Information Company Ltd.,Hangzhou 310052,China
4. State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China
5. Indiana University-Purdue University Indianapolis(IUPUI),Indianapolis,Indiana 46202 USA
6. School of Artificial Intelligence,Anhui University,Hefei 230039,China
折叠

摘要

关键词

Conditional generative adversarial network/signal-ized urban networks/short-term link speed prediction

Key words

Conditional generative adversarial network/signal-ized urban networks/short-term link speed prediction

引用本文复制引用

Yuanqi Qin,Wen Hua,Junchen Jin,Jun Ge,Xingyuan Dai,Lingxi Li,Xiao Wang,Fei-Yue Wang..AUTOSIM:Automated Urban Traffic Operation Simulation via Meta-Learning[J].自动化学报（英文版）,2023,10(9):1871-1881,11.

基金项目

This work was supported by the National Natural Science Foundation of China(62173329). （62173329）

自动化学报（英文版）

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ISSN：2329-9266

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