Combining driving simulator and physiological sensor data in a latent variable model to incorporate the effect of stress in car-following behaviour

Volume: 22, Pages: 100089 - 100089
Published: Jun 1, 2019
Abstract
Car-following models, which are used to predict the acceleration-deceleration decisions of drivers in the presence of a closely spaced lead vehicle, are critical components of traffic microsimulation tools and useful for safety evaluation. Existing car-following models primarily account for the effects of surrounding traffic conditions on a driver’s decision to accelerate or decelerate. However, research in human factors and safety has...
Paper Details
Title
Combining driving simulator and physiological sensor data in a latent variable model to incorporate the effect of stress in car-following behaviour
Published Date
Jun 1, 2019
Volume
22
Pages
100089 - 100089
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