Model Predictive Control-based Driver Assistance System: Predicting Combined Vehicle and Driver Behaviour during Complex Truck Docking Manoeuvres

Due to the continuously increasing volume of road freight transportation, there is a need to aid or automate truck-trailer driving. Truck docking, the process of parking a truck-trailer combination at a loading dock, is one of the most difficult manoeuvres for professional drivers. In this work, we propose a Model Predictive Control (MPC)-based...

Morality in the preference for Advanced Driver Assistance Systems: Identifying the importance of safety for other road users in consumers preference for extra car features

This research examines the incorporation of morality in discrete choice modelling, applied to the specific case of the choice for ADAS in lease cars. Implicitly, the decision to include or exclude ADAS in a car affects the safety of the driver himself and other road users. Therefore this decision has a moral dimension; a moral dilemma arises...

Impacts of (Cooperative) Adaptive Cruise Control Systems on Traffic Flow: A simulation case study on the effects of (cooperative) adaptive cruise control on the A15 highway

This thesis is assessing the effects of (Cooperative) Adaptive Cruise Control using microscopic and mesoscopic simulations in Aimsun. The Gipps car-following model is manipulated in such a way that it represents (C)ACC driving behavior to a satisfactory extent. A simulation network of a part of the A15 highway containing the junctions Ridderkerk...

Adaptive Cruise Control in Practice: A Field Study and Questionnaire into its influence on Driver, Traffic Flows and Safety

Adaptive Cruise Control (ACC) is a system present which enables the car to autonomously maintain a certain speed, and based on the location and the speed of the predecessor, change the speed of the vehicle. This research is meant to determine the influence of ACC on the behavior of the driver, and on flows and safety on the road. Three databases...

The design and analysis of steering interactions between automated vehicle and human driver using hybrid control framework

Advanced Driver Assistance Systems (ADAS) are primarily radar and camera-based technologies that capture the vehicle’s surrounding environment and assist the driver by keeping him informed about current vehicle state, and if necessary intervene to prevent an impending danger, while the driver is in control of the vehicle at all times. These...