Mobility and Aging: Older Drivers’ Visual Searching, Lane Keeping and Coordination

This thesis examined older drivers’ mobility and behaviour through comprehensive measurements of driver-vehicle-environment interaction and investigated the associations between driving behaviour and cognitive functions. Data were collected and analysed for 50 older drivers using eye tracking, GNSS tracking, and GIS. Results showed that poor selective attention, spatial ability and executive function in older drivers adversely affect lane keeping, visual search and coordination. Visual-motor coordination measure is sensitive and effective for driving assessment in older drivers

Design of Context-aware Systems for vehicles using complex system paradigms

Abstract. This paper argues that the driving task exhibits the properties of complex systems. Driving behavior emerges from the intricate and complex interactions between the driver, the vehicle and the environment. An emerging driving behavior could not necessary be linearly predicted. However a context-aware system could assist the driver in augmenting the probability of undertaking safe behavior. Unlike existing context aware systems which isolate one characteristic such as road or driver workload and concentrate on it in exclusion of the others factors, this seminal research proposes a context awareness design which considers the driver, vehicle and environment as a whole. We focus on the principles that underlie the system in order to model it with the view of understanding, predicting and improving driver behavior. This approach places context-aware design within a wider framework that takes into account information related to the driver, environment and vehicle. It recommends approaches for building safety critical contextaware systems. Such an approach aids in the design of safe in-vehicle context-aware systems.