Human Factors for Connected Vehicles Transit Bus Research

Graving, Justin; Bacon-Abdelmoteleb, Paige; Campbell, John L. · 2019 · ROSA P / United States. Department of Transportation. National Highway Traffic Safety Administration

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Summary

This report addresses the critical need for human factors data to support the design of connected vehicle (CV) safety technologies for transit buses. Motivated by the persistent and costly nature of bus-pedestrian accidents, the study aimed to characterize the tasks, demands, and workload of bus operators to inform the development of pedestrian detection and warning systems. Prior research had identified significant knowledge gaps regarding how operator tasks impact safety and how new technologies might interact with existing operational demands. The project sought to generate design guidelines that complement the information-processing capabilities of drivers, ensuring that new alerts do not introduce excessive visual, cognitive, or manual distractions. The research employed a multi-faceted methodology involving literature reviews, surveys, focus groups, and detailed task analyses. First, a literature review identified safety issues and knowledge gaps. Second, a questionnaire was distributed to 44 U.S. transit agencies (18 responded) to assess the adoption of Intelligent Transportation Systems (ITS) and current driver-vehicle interfaces. Third, a prototyping study utilized focus groups with eight bus operators from Seattle and Portland to explore hazard detection strategies and gather ideas for alerting technologies. Fourth, cognitive task analyses were conducted through ride-alongs and interviews with four operators to map the visual, physical, and mental demands of three critical activities: boarding/alighting passengers, navigating intersections, and driving on roadways. Finally, these task analyses were validated through four additional focus groups with 16 operators who reviewed task diagrams and provided demand estimates. Key findings revealed that bus operation is a highly demanding and variable task, characterized by the frequent co-occurrence of visual, mental, and motor demands. The task analyses highlighted that operators must simultaneously monitor disparate portions of the roadway scene and the bus interior, particularly during task transitions such as passenger boarding. The validation study confirmed that navigating intersections and managing bus stops impose significant overall demand, with high visual and mental loads. The prototyping study identified specific safety issues, including the impact of current riders on hazard detection and potential conflicts between driver behaviors and local policies. Operators provided insights into visual scanning techniques and suggested design considerations for alerting systems, emphasizing the need for interfaces that do not overwhelm the driver during high-demand periods. The significance of this work lies in its provision of the first detailed task analyses of transit operators, offering specific data on temporal demands and information-processing needs. These findings directly support the Human Factors for Connected Vehicles program by establishing a baseline for designing in-vehicle systems that are consistent with operator capabilities. The report concludes that the placement and content of new safety technologies must account for the ongoing visual demands of primary driving tasks. By identifying the specific conditions under which operators are most vulnerable to distraction or overload, the study provides essential guidance for developing effective pedestrian collision warning systems and other CV technologies for transit fleets.

Key finding

Bus operators face high and variable cognitive, visual, and physical demands, with task transitions such as passenger boarding creating overwhelming concurrent demands that complicate hazard detection.

Methodology

mixed_methods

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.

• bus coach
• ehmi external hmi
• temporal
• mental demand
• vru facing ehmi

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).

• Applied Guidance: design guidelines
• Empirical Findings: observational prevalence
• Methodological Resource: measurement protocol