Add to ORKGAgentPolis is a fully agent-based platform for modeling multi-modal transportation systems. It comprises a high-performance discrete-event simulation core, a cohesive set of high-level abstractions for building extensible agent-based models and a library of predefined components frequently used in transportation models. Together with a suite of sup-porting tools, AgentPolis enables rapid prototyping and execution of data-driven simulations of a wide range of mo-bility and transportation phenomena. We illustrate the ca-pabilities of the platform on a model of fare inspection in public transportation networks
[EN] In recent years, cities and especially urban mobility have undergone remarkable changes. Signif...
Abstract—Even though the agent-based simulation modelling has become a standard tool in transport re...
Widespread adoption of smartphones and ubiquitous internet connectivity gives rise to new markets fo...
Reviewing previous studies on using computational models for analyzing the effect of transport polic...
International audienceAutonomous vehicles promise an important opportunity for a complete paradigm s...
An agent-based simulation framework is extended to design efficient large-scale public transport net...
Developments in integrated agent-based platform has shown progress, however, most of efforts are bas...
Agent-based simulation is increasingly used in transport modeling and planning as it allows to study...
Over the last few decades, multi-agent systems have been intensively deployed to simulate traffic. T...
International audienceThe RATP (Paris Public Transport System) needs a software to optimize the pass...
Urban planners face a few challenges in making urban freight transport more sustainable: reduce urba...
The agent computing paradigm is rapidly emerging as one of the powerful technologies for the develop...
An agent-based simulation approach is presented, which makes it possible to capture the dynamic inte...
We present an open-source simulation testbed for the deve-lopment, comparison and analysis of on-dem...
An agent based model for the simulation of road traffic and transport demand in a Sydney metropolita...
[EN] In recent years, cities and especially urban mobility have undergone remarkable changes. Signif...
Abstract—Even though the agent-based simulation modelling has become a standard tool in transport re...
Widespread adoption of smartphones and ubiquitous internet connectivity gives rise to new markets fo...
Reviewing previous studies on using computational models for analyzing the effect of transport polic...
International audienceAutonomous vehicles promise an important opportunity for a complete paradigm s...
An agent-based simulation framework is extended to design efficient large-scale public transport net...
Developments in integrated agent-based platform has shown progress, however, most of efforts are bas...
Agent-based simulation is increasingly used in transport modeling and planning as it allows to study...
Over the last few decades, multi-agent systems have been intensively deployed to simulate traffic. T...
International audienceThe RATP (Paris Public Transport System) needs a software to optimize the pass...
Urban planners face a few challenges in making urban freight transport more sustainable: reduce urba...
The agent computing paradigm is rapidly emerging as one of the powerful technologies for the develop...
An agent-based simulation approach is presented, which makes it possible to capture the dynamic inte...
We present an open-source simulation testbed for the deve-lopment, comparison and analysis of on-dem...
An agent based model for the simulation of road traffic and transport demand in a Sydney metropolita...
[EN] In recent years, cities and especially urban mobility have undergone remarkable changes. Signif...
Abstract—Even though the agent-based simulation modelling has become a standard tool in transport re...
Widespread adoption of smartphones and ubiquitous internet connectivity gives rise to new markets fo...