Abstract Cooperative, Connected and Automated Mobility (CCAM) enabled by Connected
and Autonomous Vehicles (CAVs) has potential to change future transport systems. The …

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 …

Automation technology has received great attention recently and been expected to play an
important role in future transport systems. Understanding determinants of travellers' intention …

Introducing autonomous vehicles (AVs) on the market is likely to bring changes in the
mobility of travelers. In this work, extensive research is conducted to study the impact of …

A new set of lane changing rules is introduced with that the model introduced in Vranken et
al.(2021) is able to simulate multi lane heterogeneous traffic where human driven vehicles …

The continuous advancement of connected vehicle (CV) technologies and its increasing
market penetration (MP) will change the nature of traffic flow fundamentals by upending the …

Connected and autonomous vehicles are expected to gradually enter the transport modal
mix sooner or later. Academic discussions of their expected impacts are well underway …

With the rapid development of autonomous driving, Autonomous Vehicles (AVs) have
started to appear on public roads, which has inevitably affected current traffic conditions and …

An improved cellular automata model based on car–truck combination effect oriented to
faithfully reproducing the characteristics of heterogeneous traffic flow is presented in this …

Autonomous Vehicles (AVs) with their immaculate sensing and navigating capabilities are
expected to revolutionize urban mobility. Despite the expected benefits, this emerging …