New application domains have faded the barriers between humans and robots, introducing
a new set of complexities to robotic systems. The major impediment is the uncertainties …

Recent developments in vehicle automation require simulations of human-robot interactions
in the road traffic context, which can be achieved by computational models of human …

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

Planning an autonomous vehicle's (AV) path in a space shared with pedestrians requires
reasoning about pedestrians' future trajectories. A practical pedestrian trajectory prediction …

Developing autonomous vehicles capable of navigating safely and socially around
pedestrians is a major challenge in intelligent transportation. This challenge cannot be met …

This paper aims to propose a pedestrian trajectory prediction model based on pedestrian–
vehicle game theory to study pedestrian trajectories during pedestrian–vehicle interaction at …

Pedestrian motion modeling in mixed traffic scenarios is crucial to the development of
autonomous systems in transportation related applications. This work investigated how …

The deployment of connected, automated vehicles (CAVs) provides the opportunity to
enhance the safety and efficiency of transportation systems. However, despite the rapid …

Pedestrians are active agents that undergo a repeated decision-making process while
walking. These anisotropic, interactive, and feedback-oriented agents observe their …

Analyzing and modeling multiagent transportation systems such as cyclist-pedestrian
interactions and their evasive-action mechanisms in shared spaces are important for …