Disruptive products and technologies change both how we live and the ways in which we
live in communities. Automated vehicles (AVs) have the potential to be both disruptive and …

In the wake of the COVID-19 global health emergency, governments in different countries of
the world have restricted the movement of people and goods intra-country or even intrastate …

The prospect of self-driving vehicles on our roads has attracted considerable public
attention, and private and government investment. As vehicles have started to be tested, it …

This work optimizes the highway decision making strategy of autonomous vehicles by using
deep reinforcement learning (DRL). First, the highway driving environment is built, wherein …

For autonomous vehicles (AVs) to receive general acceptance, society must have a positive
perception about their safety impact on vulnerable road users. Using data from a statewide …

This chapter highlights the increasing attention on AVs and their potential to reduce
humanrelated road accidents and save time. The history of AV research and development is …

The aim of this article is to create a semi-structured interview guide for a qualitative research
project centered on the exploring acceptance of autonomous vehicles (AVs) in Thailand …

Autonomous vehicles (AV) are expected to improve road safety and reduce traffic
congestion by optimizing routes and reducing human errors. AVs have the potential to …

Recently, autonomous vehicle is receiving much attention in various sectors including
transportation and public transportation. This study presents an adaptive routing algorithm …

The application of multi-criterion decision-making methods allows reducing the ambiguity,
imprecision, uncertainty, and subjectivity in human-based judgments when processes of …