Lack of consumer acceptance is a prominent barrier to the large-scale adoption of
automated vehicles (AVs). This study investigated the underlying mechanisms for AV …

The agent-based land use/transport model SILO/MITO/MATSim is adapted to simulate the
impact of AVs on household relocation. The revised model accounts for the fact that …

Abstract Self-Driving Vehicles or Autonomous Driving (AD) have emerged as the prime field
of research in Artificial Intelligence and Machine Learning of late. The indicated market …

We identify the need for enhanced pedestrian–vehicle simulation tools and build such a tool
to explore the interaction among pedestrian “players” and virtual human-and automated …

Abstract Agent Programming Languages have been studied for over 20 years for
programming complex decision-making for autonomous systems. The GOAL agent …

This article outlines a novel way of performing experimental “Wizard of Oz”(WOz) User
Experience (UX) research that specifically targets driving in different levels of self-driving …

Unpredictable situations frequently occur in real driving environments, and it is often difficult
to recognize road signs. In this case, autonomous vehicles (AVs) have a limited ability to …

Future, fully automated vehicles pose strict requirements on the performance of inertial
sensors. Achievable accuracies of micro-electromechanical (MEMS) gyroscopes are …

The chapter explains the effects of intelligent autonomous vehicles from future perspectives.
The chapter gives readers an overview of the future intelligent autonomous vehicles and …

The elderly, children, and people with disabilities are among vulnerable users who can
benefit the most from the autonomous vehicles (AVs). Yet, most AV concepts discussed in …