Improved time series models for the prediction of lane-change intention-Reference-Cited by-同舟云学术

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Improved time series models for the prediction of lane-change intention

Published:2024-07-22 Issue: Volume: Page:1-15
ISSN:1942-7867
Container-title:Transportation Letters
language:en
Short-container-title:Transportation Letters

Author:

Zhang Hongrui¹,Wang Yonggang¹^ORCID,Zhang Shengrui¹,Li Jingtao¹,Wang Qushun¹,Zhou Bei¹

Affiliation:

1. School of Transportation Engineering, Chang’an University, Xi’an, Shaanxi, PR. China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Natural Science Basic Research Program of Shaanxi Province

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/19427867.2024.2379702

Reference52 articles.

1. A game theory-based approach for modelling mandatory lane-changing behaviour in a connected environment

2. Arthur, D., and S. Vassilvitskii. 2007. “K-Means++: The Advantages of Careful Seeding.” Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, New Orleans, Louisiana, USA.

3. Modeling discretionary lane-changing decisions using an improved fuzzy cognitive map with association rule mining

4. A binary decision model for discretionary lane changing move based on fuzzy inference system

5. Assessing influential factors for lane change behavior using full real-world vehicle-by-vehicle data

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