Negotiation and Decision-Making for a Pedestrian Roadway Crossing: A Literature Review

Amini, Roja Ezzati; Katrakazas, Christos; Antoniou, Constantinos · 2019 · OpenAlex-citations

DOI: 10.3390/su11236713

archive: archived pipeline: cataloged verified

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Summary

This literature review addresses the complex negotiation and decision-making processes between pedestrians and human drivers at roadway crossings, particularly in scenarios where right-of-way is not explicitly defined by traffic signals or formal rules. The research is motivated by the impending integration of Automated Driving Systems (ADS) into urban traffic. Because ADS lacks human drivers, it cannot rely on the informal, nonverbal communication cues—such as eye contact and hand gestures—that currently facilitate safe interactions. The unpredictability and inconsistency of pedestrian behavior pose significant challenges for ADS design, necessitating a comprehensive understanding of how road users currently communicate intentions and interpret each other’s actions to ensure safety and sustainability. The authors conducted a systematic review of existing studies to analyze vehicle–pedestrian interactions. The paper categorizes communication methods into implicit (informal, such as deceleration or anticipatory movements) and explicit (formal, such as lights, horns, or hand gestures). It examines the impact of these cues on yielding behaviors and identifies factors influencing pedestrian decision-making, including individual characteristics (age, gender, distraction), walking speed, group size, and environmental conditions. The review also defines key safety metrics, such as Post-Encroachment-Time (PET) and Time-To-Collision (TTC), to evaluate conflict severity. Key findings indicate that human interactions rely heavily on nonverbal signals, though their effectiveness varies. Eye contact and hand gestures can increase driver yielding rates, but studies show significant limitations; for instance, drivers often fail to yield even when pedestrians are in crosswalks, and mutual gaze is difficult to establish at typical urban speeds and distances. Pedestrian behavior is highly variable: children and the elderly exhibit different risk perceptions and physical capabilities, while larger pedestrian groups significantly increase the likelihood of drivers yielding. Drivers employ strategies such as "hard yields" (complete stops) or "soft yields" (slowing down) based on their anticipation of pedestrian actions. The review highlights that current traffic rules often fail to cover ambiguous situations, forcing users to rely on social norms and informal communication to resolve conflicts. The significance of this work lies in its proposal for a holistic approach to modeling road crossing interactions. By synthesizing the factors influencing communication and decision-making, the paper provides critical insights for designing external human–machine interfaces (eHMIs) for ADS. Understanding these dynamics is essential for developing automated systems that can effectively transmit intentions to pedestrians and interpret pedestrian behaviors, thereby maintaining trust, safety, and traffic efficiency in mixed environments with both human and automated vehicles.

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Topics

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• pedestrian behavior perception
• driver vru interaction
• vru facing ehmi
• ehmi external hmi
• rail grade crossings