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 …

We present a novel concept, Virtualized Traffic, to reconstruct and visualize continuous traffic
flows from discrete spatiotemporal data provided by traffic sensors or generated artificially to …

We present a novel method for the synthesis and animation of realistic traffic flows on large‐
scale road networks. Our technique is based on a continuum model of traffic flow we extend …

Rapid urbanization and increasing traffic have caused severe social, economic, and
environmental problems in metropolitan areas worldwide. Traffic reconstruction and …

Simulation is the key to scaling up validation and verification for robotic systems such as
autonomous vehicles. Despite advances in high-fidelity physics and sensor simulation, a …

Microscopic traffic simulators are important tools for studying transportation systems as they
describe the evolution of traffic to the highest level of detail. A major challenge to …

We present a novel, real-time algorithm for modeling large-scale, realistic traffic using a
hybrid model of both continuum and agent-based methods for traffic simulation. We simulate …

The increasing power of computer technologies, the evolution of software engineering and
the advent of the intelligent transport systems has prompted traffic simulation to become one …

Simulation systems have become essential to the development and validation of
autonomous driving (AD) technologies. The prevailing state-of-the-art approach for …

Simulation forms the backbone of modern self-driving development. Simulators help
develop, test, and improve driving systems without putting humans, vehicles, or their …