With the rapid development of urban transportation and the continuous advancement in
autonomous vehicles, the demand for safely and efficiently testing autonomous driving and …

Traffic simulation provides interactive data for the optimization of traffic policies. However,
existing traffic simulators are limited by their lack of scalability and shortage in input data …

In light of the challenges and costs of real-world testing, autonomous vehicle developers
often rely on testing in simulation for the creation of reliable systems. A key element of …

To facilitate automation of urban driving, we present an efficient, lightweight, open-source,
first-order simulator with associated graphical display and algorithmic supervisors. FLUIDS …

Autonomous vehicles (AVs) have the potential to significantly revolutionize society by
providing a secure and efficient mode of transportation. Recent years have witnessed …

While there have been advancements in autonomous driving control and traffic simulation,
there have been little to no works exploring their unification with deep learning. Works in …

Autonomated driving has emerged as a transformative force in the automotive industry,
promising safer, more efficient, and convenient transportation. However, many significant …

Computer simulations of traffic and driving provide essential solutions to reduce risk and
cost in traffic-related studies and research. Through nearly 90 years of simulation …

Autonomous driving in an unregulated urban crowd is an outstanding challenge, especially,
in the presence of many aggressive, high-speed traffic participants. This paper presents …

Realistic and diverse traffic scenarios in large quantities are crucial for the development and
validation of autonomous driving systems. However, owing to numerous difficulties in the …