Efficient Calibration of Agent-Based Traffic Simulation Using Variational Auto-Encoder-Reference-Cited by-同舟云学术

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Efficient Calibration of Agent-Based Traffic Simulation Using Variational Auto-Encoder

Published:2022-10-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
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Author:

Ye Peijun¹,Zhu Fenghua¹,Lv Yisheng¹,Wang Xiao²,Chen Yuanyuan¹

Affiliation:

1. Institute of Automation, Chinese Academy of Sciences,State Key Laboratory for Management and Control of Complex Systems,Beijing,China,100190

2. Qingdao Academy of Intelligent Industries,Qingdao,China,266109

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9921415/9921739/09922234.pdf?arnumber=9922234

Reference23 articles.

1. Estimation of Agent-Based Models: The Case of an Asymmetric Herding Model

2. A Survey of Cognitive Architectures in the Past 20 Years

3. Sampled-Data State Estimation for Complex Networks With Partial Measurements

4. On the problem of calibrating an agent based model for financial markets

5. Agent-based economic models and econometrics

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1. Cognitive Reinforcement Learning: An Interpretable Decision-Making for Virtual Driver;IEEE Journal of Radio Frequency Identification;2024

2. Personalized Routing using Crowdsourced Connected Vehicle Data;2023 IEEE Conference on Control Technology and Applications (CCTA);2023-08-16

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