Heavy vehicle driver workload assessment. Task 2, standard vehicle configuration/specifications

Turanski, Alan; Tijerina, Louis · 1996 · ROSA P / United States. Joint Program Office for Intelligent Transportation Systems

archive: archived pipeline: cataloged verified

Get this paper ↗ (full text — opens at the source; we link to it, we don't host it)

Summary

This report, produced by Battelle Memorial Institute for the National Highway Traffic Safety Administration (NHTSA), addresses the need for standardized baseline conditions to assess driver workload in heavy vehicles. The research was motivated by the introduction of high-technology in-cab devices, such as Advanced Driver Information Systems, which introduce subsidiary tasks that may compete with primary vehicle control. To evaluate the safety, efficiency, and effectiveness of these technologies from a driver-centered perspective, the authors sought to define a "standard" heavy vehicle configuration and a set of "standard" driving tasks. These baselines are intended to serve as reference points for future workload measurement protocols, allowing for the isolation of biomechanical, perceptual, cognitive, and response demands imposed by new technologies. The methodology for defining the standard vehicle configuration relied on expert consultation and data verification. A subject matter expert with extensive experience in U.S. trucking operations proposed a functional definition of a typical tractor-trailer, which was then verified against Department of Commerce Truck Inventory and Use Survey data from 1987 for eight representative states. For the driving tasks, the researchers reviewed task analysis data from a previous project phase (Task 1). They filtered out tasks that were either too global (e.g., "drive at night") or too prescriptive, aiming instead for intermediate-level maneuvers suitable for workload assessment scenarios. The resulting task list was rewritten using terminology familiar to professional drivers and screened by the expert consultant for completeness and correctness. The study identified a standard heavy vehicle configuration characterized by a combination tractor and single trailer, a conventional cab with an optional sleeper box, a flat panel dashboard, diesel power with air brakes, and the absence of high-technology in-cab devices. The authors noted that while cabover tractors exist, the conventional cab is more prevalent and offers distinct ergonomic differences, such as reach constraints and field-of-view variations, that significantly impact workload. The report also established a comprehensive list of standard driving tasks categorized into basic driving, parking, lane changes, turns, intersections, and nonstandard emergency maneuvers. Additionally, it identified critical driving conditions—including lighting, traffic density, roadway division, visibility, traction, and locale—that contextualize these tasks. The authors further distinguished between primary driving behaviors and discretionary in-cab activities, such as using a CB radio or eating, which contribute to concurrent workload. The significance of this work lies in its provision of a structured framework for evaluating the safety implications of intelligent transportation systems in heavy vehicles. By establishing a consistent vehicle baseline and a defined set of driving tasks, the research enables the development of robust workload assessment protocols. This approach supports the design and implementation of in-cab technologies that minimize interference with primary driving duties, thereby enhancing roadway safety. The findings provide a foundation for subsequent phases of the project, which involve data collection and the evaluation of specific devices using the defined baseline conditions.

Key finding

A standard heavy vehicle baseline was defined as a conventional cab tractor-trailer with a flat dashboard, diesel engine, air brakes, and no high-technology devices, accompanied by a categorized list of standard driving tasks ranging from basic maneuvers to emergency recoveries.

Methodology

review

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).

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

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• truck driver fatigue
• mental demand
• workload measurement
• stress driving
• road complexity

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).

• Empirical Findings: physiological data
• Theoretical Contribution: theory or model, conceptual framework