Understanding driver performance variability and perception of risk : driver hazard perception research plan

Lerner, N.; Benel, D.; Dekker, D. · 1998 · ROSA P / Turner-Fairbank Highway Research Center

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Summary

This document is a research plan, not a completed study, proposing a comprehensive program to define, measure, and quantify driver perception of hazards in relation to highway design, operations, and safety standards. The motivation stems from the recognition that driver behavior is adaptive rather than rigidly controlled by roadway geometry; drivers perceive and evaluate hazards based on subjective risk, which interacts with engineering changes to determine actual safety outcomes. Existing literature on driver risk perception is criticized for focusing heavily on individual driver characteristics (e.g., personality, age) rather than roadway factors, and for lacking integrated models or valid methods to quantify how specific traffic engineering elements influence hazard perception and subsequent safety consequences. The proposed methodology involves a systematic research and development effort structured around six interrelated projects. Project 1 utilizes a multivariate case study approach, selecting a specific high-risk traffic situation (such as left-turn gap acceptance) to develop and validate rigorous measurement methodologies for hazard perception, including on-road instrumented vehicles, simulators, and laboratory studies. Project 2 investigates the influence of traffic operational factors (e.g., congestion, signal timing, vehicle mix) on driver time, speed, and space decisions, involving two sequential studies: one for developing recommended practices and a second for field evaluation. Project 3 aims to identify conditions where driver awareness of hazards is inappropriate and develop a conceptual model of driver hazard awareness. Project 4 examines the "unintended consequences" of highway improvements, specifically modeling accident migration and system-wide safety impacts. Project 5 explores the role of social context, including influences from other occupants, surrounding users, and local norms, on driver risk behaviors. Finally, Project 6 focuses on engineering countermeasures to manipulate driver hazard perception, such as perceptual treatments of specific roadway elements or modifications to driver expectancy through roadway feature manipulation. The plan outlines specific deliverables for each project, including improved design and operational practices, quantitative models of accident migration, and guidelines for innovative techniques to modify driver perception. The ultimate goal is to produce input for human factors safety handbooks and driver performance-based highway design modules. By addressing the gap between engineering assumptions and actual driver behavior, the program seeks to provide tools and models that allow highway designers to evaluate and develop infrastructure that aligns with how drivers actually perceive and respond to risks, thereby enhancing overall traffic safety and operational efficiency.

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Topics

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• hazard perception
• crash reconstruction hf
• hazard perception training
• situational awareness
• perceptual countermeasures
• mental model of traffic

Information type

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• Empirical Findings: behavioral performance data
• Methodological Resource: dataset resource
• Theoretical Contribution: theory or model