Reproducing real-world traffic scenes in the simulator is fundamental to training self-driving
systems. Creating a simulation scenario is a complex task, generally done manually: the ego …

Abstract Connected and Automated Vehicles (CAV) are regarded as the developing trend of
future transportation due to the advantages in terms of increasing traffic throughput, safety …

In this paper, a cooperative driver model for a multi-agent traffic simulation is proposed. The
model combines maneuver-based trajectory planning of the vehicles with a cooperative …

Automated driving offers excellent opportunities for ecology, economy as well as society.
Especially in urban intersections, there is a considerable margin for benefits in these …

Microscopic traffic simulation is the most accurate tool for predictive analytics in urban
environments. However, the amount of workload (ie, cars simulated simultaneously) can be …

Traffic flow simulation is indispensable for the construction of digital urban traffic. Similar-to-
real simulation can provide an effective verification platform for intelligent traffic …

The field of cooperatively interacting vehicles requires complex simulation infrastructures
dealing with various aspects such as vehicle, traffic, and communication models. In this work …

Complex traffic scenarios at uncontrolled intersections are crucial for the test validation of
autonomous driving systems. The core of the test scenario construction lies in the accurate …

Smart traffic engineering and intelligent transportation services are in increasing demand
from governmental authorities to optimize traffic performance and thus reduce energy costs …

We use traffic simulations to quantify the impact of autonomous vehicles in various traffic
scenarios, where vehicles at higher automation levels behave more opportunistically in car …