Crowd simulation has emerged in the last decade as a widely used method of visual effects,
computer games, and urban planning, etc. The improvement of hardware performance and …

Virtualized traffic via various simulation models and real‐world traffic data are promising
approaches to reconstruct detailed traffic flows. A variety of applications can benefit from the …

This paper addresses modeling and simulating pedestrian trajectories when interacting with
an autonomous vehicle in a shared space. Most pedestrian–vehicle interaction models are …

This paper presents a flexible macroscopic traffic model that is applicable for large scale
urban traffic network simulations. The proposed approach combines several advantages …

Investigating pedestrian crossing and driver yielding decisions should be an important focus
considering the high risks of pedestrians in exposed to motorized traffic. Limitations …

Virtual traffic benefits a variety of applications, including video games, traffic engineering,
autonomous driving, and virtual reality. To date, traffic visualization via different simulation …

Understanding pedestrian proxemic utility and trust will help autonomous vehicles to plan
and control interactions with pedestrians more safely and efficiently. When pedestrians cross …

Recent failures in real-world self-driving tests have suggested a paradigm shift from directly
learning in real-world roads to building a high-fidelity driving simulator as an alternative …

In this paper, we propose a new data-driven model to simulate the process of lane-changing
in traffic simulation. Specifically, we first extract the features from surrounding vehicles that …

In this paper, we present a microscopic agent-based pedestrian behavior model Intend-Wait-
Cross. The model is comprised of rules representing behaviors of pedestrians as a series of …