Policy and incentive designs evaluation: A social-oriented framework for Artificial Transportation Systems

TitlePolicy and incentive designs evaluation: A social-oriented framework for Artificial Transportation Systems
Publication TypeConference Paper
Year of Publication2014
AuthorsKokkinogenis, Z., N. Monteiro, R. J. F. Rossetti, A. L. C. Bazzan, and P. Campos
Conference NameIntelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Date PublishedOct
Conference LocationQingdao
KeywordsAdaptation models, artificial transportation systems, Atmospheric modeling, Biological system modeling, incentive designs evaluation, intelligent transportation systems, policy evaluation, policy intervention, Roads, Schedules, social agent-based model, social dimensions, Social factors, social-oriented modelling framework, social-oriented simulation framework, socio-economic effects, traffic manager, traffic system, transportation policies

In traffic & transportation system analysis the way individuals make choices plays a paramount role as these will affect the general efficiency with which people can travel. Modifications on the system by means of policy intervention affect commuters' perspective impacting on the performance of the network and eventually on the society's welfare. The emergence of system's behaviour, as a result of decisions at individual level, provides the traffic manager with the opportunity to evaluate modifications that have been implemented on the system. However, there has been a slow advance in appropriately representing users and their behaviour in all social dimensions of intelligent transportation systems. This paper discusses on a social-oriented modelling & simulation framework for Artificial Transportation Systems, which accounts for different social dimensions of the system in the assessment and application of policy procedures. We illustrate how a social agent-based model can be a useful tool to test the appropriateness and efficiency of transportation policies.