Multiagent-based simulations are regarded as a useful technology for analyzing complex
social systems; for example, traffic in a city. Traffic in a city has various aspects such as route …

As connected autonomous vehicles (CAVs) become increasingly prevalent, there is a
growing need for simulation platforms that can accurately evaluate CAV behavior in large …

Microscopic traffic simulation is a useful tool for testing and evaluating infrastructure design,
operation, and control policies in a virtual environment, realizing cost savings and flexibility …

With an increasing number of automated vehicles (AV) appearing on roads and interacting
with conventional traffic, there is a need for improved simulation approaches to replicate and …

Current autonomous vehicle (AV) simulators are built to provide large-scale testing required
to prove capabilities under varied conditions in controlled, repeatable fashion. However …

Realistically modelling behaviour and interaction of heterogeneous road users (pedestrians
and vehicles) in mixed-traffic zones (aka shared spaces) is challenging. The dynamic nature …

Microscopic traffic simulation plays a crucial role in transportation engineering by providing
insights into individual vehicle behavior and overall traffic flow. However creating a realistic …

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 …

Scenario-based testing for automated driving systems (ADS) must be able to simulate traffic
scenarios that rely on interactions with other vehicles. Although many languages for high …

The automotive and transport sector is undergoing a paradigm shift from manual to highly
automated driving. This transition is driven by a proliferation of advanced driver assistance …