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.
@article{arxiv.2204.11367,
title = {Ordered-logit pedestrian stress model for traffic flow with automated vehicles},
author = {Kimia Kamal and Bilal Farooq and Mahwish Mudassar and Arash Kalatian},
journal= {arXiv preprint arXiv:2204.11367},
year = {2023}
}