Bilal Alam Khan

Title: Driver Sensing & Inclusive Adaptive Automation for Older Drivers

Supervision Team: Sam Cromie, TCD / Maria Chiara Leva, TU Dublin

Description: The proportion of over 65s in the population is growing; by 2030 a quarter of all drivers will be older than 65. At the same time transport is being transformed with connected, automated and electric vehicles. This project will take a user-centred design approach to understanding the needs of older drivers exploring how these could be addressed through driver sensing and adaptive automation. Progress beyond the state of the art will include a technology strategy for inclusive personalized multimodal Human Machine Interface (HMI) for older drivers and an inclusive standard for driver sensing and/or HMI for connected and autonomous vehicles.