Interaction‐aware autonomous driving (IAAD) is a rapidly growing field of research that
focuses on the development of autonomous vehicles (AVs) that are capable of interacting …

To enhance the efficiency and safety of interactions with pedestrians, numerous external
Human-Machine Interfaces (eHMIs) concepts for automated vehicles (AVs) have been …

Abstract Effects of a frontal brake light (FBL, a potential external human–machine interface
for automated vehicles) on participants' self-reported willingness to cross a vehicle's path …

The interactions between vehicles and pedestrians are complex due to their
interdependence and coupling. Understanding these interactions is crucial for the …

Highly automated vehicles (HAVs) will interact with pedestrians in urban environments. This
requires efficient communication tools to ensure mutual understanding. Past research …

How autonomous vehicles (AVs) communicate their intentions to vulnerable road users (eg,
pedestrians) is a concern given the rapid growth and adoption of this technology. At present …

Understanding behavior of human drivers in interactions with automated vehicles (AV) can
aid the development of future AVs. Existing investigations of such behavior have …

With the development of autonomous driving, ensuring pedestrian safety has become a hot
research topic. The traditional pedestrian crossing behavior research mostly track and …

Increasing attention has been drawn to computational pedestrian behavior models aimed at
understanding the interaction mechanisms between pedestrians and vehicles …

Time granularity is a key parameter necessary for short-time passenger flow prediction of
urban rail transit (URT); however, no universal method is available for its setting. This study …