Physics-Informed Spatiotemporal Learning Framework for Urban Traffic State Estimation-Reference-Cited by-同舟云学术

Physics-Informed Spatiotemporal Learning Framework for Urban Traffic State Estimation

Published:2023-07 Issue:7 Volume:149 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Shi Zeyu¹,Chen Yangzhou²,Liu Jichao³,Fan Dechao⁴,Liang Chaoqiang⁵

Affiliation:

1. Ph.D. Candidate, Beijing Key Laboratory of Transportation Engineering, Beijing Univ. of Technology, Beijing 100124, China.

2. Professor, College of Artificial Intelligence and Automation, Beijing Univ. of Technology, Beijing 100124, China (corresponding author).

3. Jiangsu Advanced Construction Machinery Innovation Center Ltd., No. 26 Tuoluanshan Rd., Xuzhou, Jiangsu 221000, China; School of Materials Science and Physics, China Univ. of Mining and Technology, No. 1 Daxue Rd., Xuzhou, Jiangsu 221116, China.

4. Engineer, Beijing General Municipal Engineering Design & Research Institute Co. Ltd., No. 32 Xizhimen North St., Beijing 100082, China.

5. Master’s Student, Faculty of Information Technology, Beijing Univ. of Technology, Beijing 100124, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-7545

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