Autonomous vehicles (AVs) may have significant environmental impacts although there are
still few studies focusing solely on these effects. A vast majority of articles address …

Automation carries paradigm-shifting potential for urban transport and has critical
sustainability dimensions for the future of our cities. This article examines the diverse …

Abstract Adaptive Cruise Control (ACC) systems are becoming increasingly available as a
standard equipment in modern commercial vehicles. Their penetration rate in the fleet is …

This paper analyzes trajectory observations from vehicles driving in platoon formation and
they are equipped with Adaptive Cruise Control (ACC) and Cooperative Adaptive Cruise …

Traffic microsimulation has a functional role in understanding the traffic performance on the
road network. This study originated with intent to understand traffic microsimulation and its …

The study proposes a methodology for quantifying the impact of real-world heterogeneous
driving behavior on vehicle energy consumption, linking instantaneous acceleration …

Microscopic traffic models (MTMs) are widely used for assessing the impacts of (connected)
autonomous vehicles ((C) AVs). These models utilize car‐following (CF) and lane‐changing …

Different types of automated vehicles (AVs) have emerged promptly in recent years, each of
which might have different potential impacts on traffic flow and emissions. In this paper, the …

On-road carbon dioxide (CO2) emissions from light-duty diesel trucks (LDDTs) are greatly
affected by driving conditions, which may be better predicted with the sequence deep …

Road traffic congestion is the result of various phenomena often of random nature and not
directly observable with empirical experiments. This makes it difficult to clearly understand …