Microscopic traffic simulation is often used in conjunction with vehicle dynamics simulation
to test cooperative or perception-based driver assistance functions. On the other hand …

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 …

Connected and automated vehicle technologies are widely expected to revolutionize
transport systems, enhancing the mobility and quality of life while reducing the …

This paper aims to model network-wide vehicle movements and traffic state evolution by
considering the interactions among vehicles and link traffic conditions through a multi-agent …

Simulation has played an important role in efficiently evaluating self-driving vehicles in terms
of scalability. Existing methods mostly rely on heuristic-based simulation, where traffic …

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 …

With the increasing popularity of Digital Twin, there is an opportunity to employ deep
learning models in symbiotic simulation system. Symbiotic simulation can replicate multiple …

Connected and automated vehicles (CAVs) can bring safety, mobility, and energy benefits to
transportation systems. Ideally, CAV applications would be fully evaluated and validated …

Autonomous vehicles (AVs) and cooperative automated vehicles (CAVs) are expected to
largely reshape our mobility systems. The limited deployment of AVs and CAVs on roads …

Urban environments often imply complex transportation infrastructures with manifold
different traffic participant using various modes of transport. These traffic participants interact …