Safe Truck Mobility for North Dakota Winter Roads

Zhou, Yun; Vachal, Kimberly; Bengtson, Kelly; Peterson, Del; Sharma, Kshitij; Kubas, Andrew · 2024 · ROSA P / Upper Great Plains Transportation Institute

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Summary

This study addresses the critical safety and mobility challenges faced by commercial trucks during winter storms in North Dakota, a region where severe weather significantly disrupts freight movement and increases crash risk. Motivated by the economic importance of trucking and the high severity of winter-related crashes, the research aims to identify contributing factors and evidence-based strategies to enhance safe truck mobility. The study adopts a "Safe System" approach, focusing on the primary east-west traffic corridor along Interstate 94 to provide actionable insights for the North Dakota Highway Patrol and other stakeholders. The methodology combines retrospective data analysis, case studies, and qualitative interviews. Researchers analyzed five years of crash data (2019–2023), examining 594 truck-involved crashes out of 2,105 total winter crashes on I-94. This quantitative analysis was supplemented by detailed case studies of specific severe storm events, including an interstate closure incident, to understand crash sequences and recovery dynamics. Additionally, the team conducted semi-structured interviews with peer state agencies and trucking industry experts to gather insights on winter road management, enforcement practices, and communication strategies. A comprehensive literature review contextualized these findings within broader safety frameworks, such as Vision Zero. Key findings reveal that winter storms exacerbate crash risks through snow and ice accumulation, reduced visibility, strong crosswinds, and unforeseen debris. The data highlighted specific vulnerabilities, such as jackknife incidents associated with severe crosswinds and the disproportionate impact of crashes on rural roadways, which account for 69% of winter heavy vehicle crashes. The study also identified systemic issues, including insufficient truck parking leading to driver fatigue and risky roadside stops, as well as the pressures of the holiday rush contributing to stress and extended driving hours. Case studies demonstrated that proactive planning and early communication regarding road closures are crucial for minimizing travel disruptions and facilitating faster recovery. Peer state interviews revealed that successful winter management relies on integrated strategies involving driver education, regulatory enforcement, intelligent transportation systems, and robust public communication. The significance of this research lies in its holistic framework for improving winter truck safety, offering specific recommendations for policy, infrastructure, and operational practices. By consolidating crash data with stakeholder expertise, the study provides a roadmap for reducing crash severity and improving mobility during severe weather events. The findings support the development of targeted interventions, such as enhanced weather forecasting communication, improved parking infrastructure, and stricter enforcement of speed and wind-related safety protocols. These insights are applicable not only to North Dakota but also to other states facing similar winter challenges, contributing to broader efforts to achieve Vision Zero goals and ensure the safe, efficient movement of commercial freight in hazardous conditions.

Key finding

Analysis of winter crash data and stakeholder interviews revealed that proactive planning, policy implementation, and resource deployment are crucial for minimizing the impacts of winter storms on truck mobility and safety.

Methodology

mixed_methods

Sample size: 594

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).

StageOutcomeToolModelPromptAttemptsCompleted
discover success rosap 2 2026-05-23
archive success 1 2026-05-23
extract success cached 2 2026-06-10
clean success 1 2026-06-01
chunk success 1 2026-06-01
embed success 1 2026-06-02
enrich success 1 2026-05-23
promote success 1 2026-05-23
summarize success llm qwen3.6-27b-prismaquant summ-v5 3 2026-06-10
tag success vector_similarity 19 2026-06-11
verify success 2 2026-06-10

Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

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