In public transport disruptions, a key relation between the services of operating company
and passengers' satisfaction is the disseminated information. This paper proposes rigorous …

Agent-based models (ABMs) are increasingly being used for exploring and supporting
decision making about social science scenarios involving modelling of human agents …

Optimizing the traffic flow in a city is a challenging problem, especially in a future traffic
system of self-driving cars and sharing vehicles. This is due to the interactions between the …

Integrating passenger and freight transport systems, known as co-modality, is becoming
more feasible due to recent developments in information and communication technologies …

As the urban population rapidly increases to the point where most of us will be living in cities
by the end of this century, the need to better understand urban areas grows ever more …

Behavioral and social sciences are increasingly being recognized as important components
of public health epidemiology. Communicable and noncommmunicable diseases spread …

Social Simulations are used to study complex systems featuring human actors. This means
reproducing real-life situations involving people in order to explain an observed behavior …

In this chapter, we investigate a multiagent based approach to modeling autonomic features
in urban traffic management. We provide a conceptual model of a traffic system comprising …

Computer networks are critical to many tasks in our daily lives. Therefore, mechanisms that
guarantee the resilience of the network must be provided. Different approaches have been …

This paper deals with the simulation of unexpected disruptions in public transport in the
agent-based transport simulation framework of MATSim. A replanning logic for public …