CAV Pilot Development and Deployment in Midwest Winter

Zhou, Yupeng; Cui, Can; Yang, Zichong; Peng, Juntong; Wang, Ziran

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CAV Pilot Development and Deployment in Midwest Winter

2026-01-01
By Zhou, Yupeng ; Cui, Can ; Yang, Zichong ; ...

File Language:

English

Details

Creators:

Zhou, Yupeng ; Cui, Can ; Yang, Zichong ; Peng, Juntong ; Wang, Ziran
Corporate Creators:

Purdue University ; Center for Connected and Automated Transportation (CCAT)
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:

Artificial Intelligence Autonomous Vehicles Connected Vehicles Datasets Decision Making Intelligent Vehicles Pilot Studies Weather Conditions
Publication/ Report Number:

82
Resource Type:

Tech Report
Geographical Coverage:

United States ; West North Central States
Edition:

Final Report (June 2024-May 2025)
Corporate Publisher:

University of Michigan. Center for Connected and Automated Transportation
Abstract:

This project addresses the critical challenges of deploying Connected and Automated Vehicles (CAVs) in adverse Midwest winter conditions by developing a novel hierarchical framework that integrates Large Vision-Language Models for robust, context-aware decision-making. Real-world pilot experiments demonstrate that this architecture significantly enhances vehicle safety and personalization, effectively translating abstract human commands into precise control adjustments on low-friction, snow-covered surfaces. Furthermore, a specialized high-fidelity dataset capturing unique environmental edge cases was established to bridge the domain gap in existing resources and support the future development of resilient all-weather autonomous technologies.
Format:

PDF
Funding:

69A3551747105
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:83e6d72846e4368823f534c85e9eb65a68bebaf4cdf8dc496aca9af94cca883fada26bd9e768fb2dd5403579effcca3294daac02d7bba85f6eb9f09d5cd8325b
Download URL:

https://rosap.ntl.bts.gov/view/dot/89577/dot_89577_DS1.pdf
File Type:

[PDF - 4.07 MB ]

File Language:

English

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