Policy and Incentive Designs Evaluation: a Social-Oriented Framework for Artificial Transportation Systems

• Type: Article in International Conference Proceedings Book
• Date: 2014

Authors

Zafeiris Kokkinogenis (Author) Other; Monteiro, N (Author) Other; Rosaldo J. F. Rossetti (Author) FEUP; Bazzan, ALC (Author) Other; Pedro Campos (Author) FEP

Conference proceedings International

Title: 17th International IEEE Conference on Intelligent Transportation Systems (ITSC)

Pages: 151-156

Indexing

ISI Web of Knowledge - 10 Citations

Scopus - 14 Citations

Other information

Authenticus ID: P-00G-DJ1

DOI: 10.1109/itsc.2014.6957682

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6