Project
AGADE Traffic is an agent based tool for traffic simulation. Main objective of this project is to provide a tool that allows traffic planners to analyse behavioural structures in road traffic. The simulator can be used for examining the effects of possible measures on individuals and their travel behaviour. The model assumes that personal preferences and decisions made by individual travellers have major impact on overall traffic flow. For this reason, AGADE Traffic provides innovative options for modelling dynamic decision-making processes. The modelling component uses semantic technologies (OWL and SWRL) to express traveller behaviour. The simulator is open-source and written in Java. It uses the JADEX framework for implementing intelligent software agents. For representation of geographic network infrastucture, publicly available map data from OpenStreetMap is stored in a graph database (Neo4J). AGADE Traffic simulation uses state of the art technology to enable best possible user experience. Have a look at the web frontend of AGADE Traffic and for more information have a read at our publications.
Demo
For demonstration purposes a reduced online version of the AGADE Traffic frontend has been prepared. It is possible to view input and reporting options, as well as to import and visually display prepared example scenarios from the Download section. Get your first impression and try the AGADE Traffic online demo.
Publications
Year | Authors | Title |
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2023 | Johannes Nguyen, Simon T. Powers, Neil Urquhart, Dominic Eckerle, Thomas Farrenkopf, Michael Guckert | Extending AGADE Traffic to Simulate Auctions in Shared Mobility Services |
2022 | Johannes Nguyen, Simon T. Powers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert | Multi-Agent Modelling Notation (MAMN): A Multi-layered Graphical Modelling Notation for Agent-Based Simulations |
2022 | Johannes Nguyen, Simon T. Powers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert | Modelling the Impact of Individual Preferences on Traffic Policies |
2021 | Johannes Nguyen, Simon T. Powers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert | Modelling Individual Preferences to Study and Predict Effects of Traffic Policies |
2021 | Johannes Nguyen, Simon T. Powers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert | Using AGADE Traffic to Analyse Purpose-Driven Travel Behaviour |
2021 | Johannes Nguyen, Simon T. Powers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert | Using Semantic Technology to Model Persona for Adaptable Agents |
2021 | Johannes Nguyen, Simon T. Powers, Neil Urquhart, Thomas Farrenkopf, Michael Guckert | An Overview of Agent-based Traffic Simulators |
2020 | Jannik Geyer, Johannes Nguyen, Thomas Farrenkopf, Michael Guckert | AGADE Traffic 2.0 - A Knowledge-Based Approach for Multi-agent Traffic Simulations |
2017 | Serge Rotärmel, Michael Guckert, Thomas Farrenkopf, Neil Urquhart | Multi-agent Simulations in Geographical Networks |
2017 | Thomas Farrenkopf | Applying semantic technologies to multi-agent models in the context of business simulations. |
Download
You can download simulation data as described in our publications and import files using the AGADE Traffic Demo to have a look at results.
Name | Description | |
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ECMS 2023 | Three example simulations, demonstrating effects of different implementations of the pooling process in ridesharing. | Download |
SN Computer Science 2022 | Six example simulations, demonstrating effects of different interventions to improve environmental impact. | Download |
PAAMS 2021 | Two example simulations, one simulating mobilty caused by grocery shopping under normal circumstances and one with changed preferences. | Download |
ECMS 2021 | Two example simulations, one simulating a commuter scenario and the other one simulating mobilty caused by grocery shopping. | Download |