In this paper, the potential effects of automated driving that are relevant to policy and society
are explored, findings discussed in literature about those effects are reviewed and areas for …

Advancement in automated driving technology has created opportunities for smart urban
mobility. Automated vehicles are now a popular topic with the rise of the smart city agenda …

In 2014, IEEE Intelligent Transportation Systems Society established a Technical Committee
on Transportation 5.0 with the mission of promoting and transforming the deployment of …

Automated vehicles (AVs) are widely considered to play a crucial role in future transportation
systems because of their speculated capabilities in improving road safety, saving energy …

Traffic state estimation (TSE) refers to the process of the inference of traffic state variables
(ie, flow, density, speed and other equivalent variables) on road segments using partially …

Emerging technologies toward a connected vehicle-infrastructure-pedestrian environment
and big data have made it easier and cheaper to collect, store, analyze, use, and …

Autonomous driving is expected to revolutionize road traffic attenuating current externalities,
especially accidents and congestion. Carmakers, researchers and administrations have …

With low‐level vehicle automation already available, there is a necessity to estimate its
effects on traffic flow, especially if these could be negative. A long gradual transition will …

In the context of the burgeoning low-altitude economy, low-altitude intelligent transportation
(LAIT) has emerged as the focal point of research. This study comprehensively explores the …

Freeway traffic control is a broad research area, not only interesting for its applicative
perspective, but also highly motivating for theoretical investigations. This research topic has …