Statistical partitioning and publishing is commonly used in location-based big data services
to address queries such as the number of points of interest, available vehicles, traffic flows …

The automotive market has been developing very dynamically recently. Contemporary
trends focus on the development of the so-called intelligent vehicles, often combined with …

Using an online stated preference survey and secondary data across four different
geographic settings in the contiguous United States (US), this paper elucidates the …

This paper analyzes the outcomes of an exploratory review of the current research on
intelligent vehicular networks, deep learning-based sensing technologies, and big data …

This study aims to investigate people's perceptions and opinions on Autonomous Vehicles
(AVs) and the key factors that influence their Behavioral Intention (BI) to purchase and use …

Results Among the 19 articles included in this special issue (Table 2), six countries were
represented (United States, n= 9; Australia, n= 3; China, n= 1; England, n= 1; New Zealand …

Fewer studies have investigated the factors affecting fully Automated Vehicles (AVs)
acceptance and their association with demographics and travel behaviour in the Australian …

Digital transformation is now inevitable for anyone, individually and organizationally,
including village government organizations. Therefore, the village government must be …

This study aims to investigate the determinants that underlie psychographic segmentation in
the domain of autonomous ferries (AFs) by using the theory of planned behaviour (TPB) as a …

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 …