Mixed traffic of conventional and automated vehicles entails many challenges concerning
the safe coexistence and the improvement of traffic efficiency. As a solution, a Traffic …

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

Traffic simulation systems have been widely used for traffic system analysis and
optimization. The traditional simulation system uses analytical models for each kind of …

Research on novel concepts in the field of smart mobility and ITS requires employing traffic
simulations in combination with communication and application simulations. With Eclipse …

Urban traffic is a major challenge to the traffic simulation community and traffic engineering
in general. The heterogeneity of traffic modes is still increasing with electric bikes and …

Simulators play a crucial role in autonomous driving, offering significant time, cost, and labor
savings. Over the past few years, the number of simulators for autonomous driving has …

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 …

There is consensus in industry and academia that Highly Automated Vehicles (HAV) and
Connected Automated Vehicles (CAV) will be launched into the market in the near future …

The next generation of transportation systems employing advanced ITS and vehicular inter-
networking are difficult to evaluate because of their inherent complexity. Advanced control …

The introduction of digital twins is expected to fundamentally change the technology in
transportation systems, as they appear to be a compelling concept for monitoring the entire …