To track the research progress of connected and automated vehicles (CAV) based
cooperative eco-driving strategies in recent years, the influences of four factors, including …

Proper evaluation of traffic operations integrating connected and autonomous vehicles
(CAVs) requires accurate representation of these emerging technologies in microscopic …

Automated driving in urban traffic requires extensive information from the surroundings. The
most promisring approach to facilitate automated driving in mixed traffic is platooning of …

Traffic accidents are one main cause of human fatalities in modern society. With the fast
development of connected and autonomous vehicles (CAVs), there comes both challenges …

Intersections are locations with higher likelihood of crash occurences and sources of traffic
congestion as they act as bottlenecks compared with other parts of the roadway networks …

As a key technology to alleviate urban congestion, Cooperative Adaptive Cruise Control
(CACC) requires testing and evaluation before being commercialized. To evaluate CACC …

The emergence of intelligent connected vehicles (ICVs) is expected to contribute to
resolving traffic congestion and safety problems; however, it is inevitable that ICV safety …

A challenge with predicting the in-traffic performance of Connected and Autonomous
Vehicles (CAV) is that CAV algorithms are often analyzed on a per-vehicle basis, but their …

Connected and automated driving functions are key components for future vehicles. Due to
implementation issues and missing infrastructure, the impact of connected and automated …

Research on connected and automated vehicles (CAVs) has been gaining substantial
momentum in recent years. However, the vast amount of literature sources results in a wide …