Research on intelligent connected vehicles lane change trajectory optimization based on risk field in mixed traffic.
- DOI
- 10.1080/15389588.2026.2646967
- Published
- 2026 Apr 27
- Container
- Traffic injury prevention
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1080/15389588.2026.2646967,
title = {Research on intelligent connected vehicles lane change trajectory optimization based on risk field in mixed traffic.},
author = {Shang T and Xu Y and Mao H},
year = {2026},
journal = {Traffic injury prevention},
doi = {10.1080/15389588.2026.2646967},
url = {https://doi.org/10.1080/15389588.2026.2646967}
}RIS
TY - JOUR TI - Research on intelligent connected vehicles lane change trajectory optimization based on risk field in mixed traffic. AU - Shang T AU - Xu Y AU - Mao H PY - 2026 JO - Traffic injury prevention DO - 10.1080/15389588.2026.2646967 UR - https://doi.org/10.1080/15389588.2026.2646967 ER -
APA
T, S., Y, X., & H, M. (2026). Research on intelligent connected vehicles lane change trajectory optimization based on risk field in mixed traffic.. Traffic injury prevention. https://doi.org/10.1080/15389588.2026.2646967
Source records
- pubmed · retrieved 2026-09-25T21:48:48.702Z