Mixed-Priority Pedestrian Delay Models at Single-Lane Roundabouts.

Area of Science:

• Transportation Engineering
• Human Factors in Traffic Safety

Background:

• Modern roundabouts present accessibility challenges for pedestrians, particularly those with visual impairments.
• Mixed-priority crossings require pedestrians to assess traffic gaps, a complex task influenced by driver yielding behavior.

Purpose of the Study:

• To develop a predictive model for pedestrian delay at single-lane roundabouts.
• To incorporate behavioral crossing data and probabilistic parameters into delay estimations.
• To ensure the model's applicability to diverse pedestrian populations.

Main Methods:

• Utilized behavioral crossing data from controlled pedestrian experiments.
• Developed probabilistic behavioral parameters for pedestrian crossing decisions.
• Employed multi-linear log-transformed regression to predict average pedestrian delay.

Main Results:

• The developed delay model explains 64% of the observed variability in pedestrian delay.
• The model effectively predicts average pedestrian delay at single-lane roundabouts.
• Identified key probabilities influencing pedestrian crossing opportunities and utilization.

Conclusions:

• The model provides a robust tool for estimating pedestrian delay at roundabouts.
• Agencies can use empirical and theoretical approaches to estimate model parameters for specific locations.
• Pedestrian crossing treatments can be evaluated within the model framework to mitigate delays.