Johannes Nguyen J.Nguyen@napier.ac.uk
Research Student
Johannes Nguyen J.Nguyen@napier.ac.uk
Research Student
Dr Simon Powers S.Powers@napier.ac.uk
Lecturer
Dr Neil Urquhart N.Urquhart@napier.ac.uk
Lecturer
Thomas Farrenkopf
Michael Guckert
Urban traffic is a system always prone to overload, often approaching breakdown during rush hour times. Well adjusted modifications of traffic policies, with appropriate interventions, promise potential improvements by inducing change in both individual as well as global system behaviour. However, truly effective measures are hard to identify, and testing in vivo is at least expensive and often hardly feasible. Computer-based simulations have successfully been applied for studying effects of policies, and multi-agent systems are accepted tools for that purpose as they provide means to model individual behaviour.
These simulations have primarily studied effects of policies by measuring performance indicators on social benefit, while effects on individuals are hardly considered. However, successful implementation of policies hinges on whether they are accepted by the common public. Thus, effects on individuals cannot be neglected. Evaluating effects on individuals requires a more detailed modelling that is able to capture individual preferences as determining factors of agent decisions. In this paper, we present a simulation framework that focuses on modelling of individuals and thus allows evaluation of effects of policies on both the individual as well as global system behaviour. We use semantic technology (OWL ontologies and SWRL rules) to model preferences and knowledge of agents in our simulation.
Using AGADE Traffic simulator, we demonstrate modelling and simulation for a mobility scenario and discuss observed results.
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (2022). Modelling the Impact of Individual Preferences on Traffic Policies. SN Computer Science, 3(5), Article 365. https://doi.org/10.1007/s42979-022-01253-3
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 17, 2022 |
Online Publication Date | Jul 9, 2022 |
Publication Date | 2022-09 |
Deposit Date | Jun 23, 2022 |
Publicly Available Date | Jun 29, 2022 |
Journal | SN Computer Science |
Publisher | Springer |
Peer Reviewed | Peer Reviewed |
Volume | 3 |
Issue | 5 |
Article Number | 365 |
DOI | https://doi.org/10.1007/s42979-022-01253-3 |
Keywords | Traffic simulation, Policy assessment, Agent modelling, Agent knowledge |
Public URL | http://researchrepository.napier.ac.uk/Output/2881512 |
Publisher URL | https://www.springer.com/journal/42979 |
Modelling The Impact Of Individual Preferences On Traffic Policies
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Copyright Statement
AM replaced by VoR on 9 Aug 2022
An overview of agent-based traffic simulators
(2021)
Journal Article
Modelling Individual Preferences to Study and Predict Effects of Traffic Policies
(2021)
Conference Proceeding
Using AGADE Traffic to Analyse Purpose-driven Travel Behaviour
(2021)
Conference Proceeding
Using Semantic Technology to Model Persona for Adaptable Agents
(2021)
Conference Proceeding
Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations
(2022)
Conference Proceeding
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