# Ordered-logit pedestrian stress model for traffic flow with automated vehicles

arXiv: https://arxiv.org/abs/2204.11367 · HTML: https://mlsanity.com/paper/2204.11367/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Apr 2022.

## Built on by (most cited first, 1 of 1)

- [Debiased machine learning for estimating the causal effect of urban traffic on pedestrian crossing behaviour](https://mlsanity.com/paper/2212.11322/) (2022)

## Abstract (arXiv)

An ordered-logit model is developed to study the effects of Automated Vehicles (AVs) in the traffic mix on the average stress level of a pedestrian when crossing an urban street at mid-block. Information collected from a galvanic skin resistance sensor and virtual reality experiments are transformed into a dataset with interpretable average stress levels (low, medium, and high) and geometric, traffic, and environmental conditions. Modelling results indicate a decrease in average stress level with the increase in the percentage of AVs in the traffic mix.