Institute for Transport Studies, University of Leeds
September 01, 2022, 11:00, Room GC B1 10 (click here for the map)
Models used in microscopic simulation are mostly approximating driving behaviour as a function of the surrounding traffic conditions, without considering drivers� individual characteristics. In this talk a series of traditional driving behaviour models (car-following and gap-acceptance) is presented, that incorporate the effect of drivers� stress and other individual characteristics. The models were estimated via econometrics techniques, using data collected at the University of Leeds Driving Simulator (UoLDS) in two different road environments, while stress levels were measured via physiological responses as heart rate and skin conductance. Issues of transferability between driving simulator and field traffic are also discussed.
Evangelos Paschalidis is a Research Fellow at the Institute for Transport Studies, University of Leeds. He completed his PhD in 2019 on "Developing driving behaviour models incorporating the effects of stress" at the same department. Currently, he is working on the EU funded project PAsCAL that focuses on the public acceptance of automated vehicles. His main research interests are in the areas of driving behaviour modelling, choice modelling, human factors and traffic psychology.