In contemporary workplace design, human performance is still limited to systemic
exploration and rational trade-offs due to methodological issues. To resolve this problem …

Over the past few decades, the increasing number of vehicles and imperfect road traffic
management have been sources of congestion in cities and reasons for deteriorating health …

This paper describes four design patterns that aim at systematizing and simplifying the
modelling and the implementation of multi-level agent-based simulations. Such simulations …

Nowadays, with the emergence of connected objects and cars, road traffic systems become
more and more complex and exhibit hierarchical behaviors at several levels of detail. The …

Autonomous vehicles (AV) are emerging with enormous potentials to solve many
challenging road traffic problems. The AV emergence leads to a paradigm shift in the road …

The development of citizenship competences plays an important role in a complex system
like society. Thus, to analyze how such competences impact other contexts is a great …

The paper presents a critical review of the use of holonic paradigm in order to model and
simulate traffic and transportation systems. After an introduction presenting the principles of …

Usage profiles of shared autonomous fleets will considerably differ from present-day
privately owned vehicles. Thus, requirements on powertrain and other vehicle components …

The paper presents a state of the art of multilevel models for traffic and transportation
modeling and simulation using holonic multi-agent approach. After an introduction and …

Understanding individual mobility in larger cities is an important success factor for future
smart cities. Related simulation scenarios incorporate enormous numbers of agents, with the …