Abstract Connected and Automated Vehicles (CAVs) technology offers a potential solution to
massive road transport issues in the areas of safety, mobility, and the environment. For road …

Automated vehicles (AVs) are seen as a gateway to safer and more accessible mobility,
while others see AVs as unrealistic and dangerous. Public perception of AVs is not always in …

This research aims to develop an assessment framework to analyze the user friendliness of
Urban Air Mobility (UAM), a future mode that enables autonomous inner-city, on-demand …

A direct or indirect network effect is defined as the phenomenon where the number of users
of a product/service or the number of complementary products of a product/service increases …

We conducted differentiations between thyroid follicular adenoma and carcinoma for 8‐bit
bitmap ultrasonography (US) images utilizing a deep‐learning approach. For the data sets …

This work proposes a novel sensor fusion-based, single-frame, multiclass object detection
method for road users, including vehicles, pedestrians, and cyclists, in which a deep fusion …

This article argues that a more critical approach to innovation policy within planning is
needed and offers recommendations for achieving this. These recommendations entail …

This paper assesses the adequacy of the BPR volume delay function for the strategic
modelling of Connected and Autonomous Vehicles (CAVs). Three testbed environments are …

Technical route decision making of intelligent driving has always been the focus of attention
of automotive enterprises and even the industry. Firstly, this study combs the main technical …

Background Pollution, traffic accidents, and congestion are huge problems in most urban
areas. Autonomous and electric vehicles are leading our society to a new mobility model …