A Multiagent Approach to the Dynamic Enactment of Semantic Transportation Services

Due to the inherent distribution of transportation management domains, multiagent approaches to the construction of decision support systems (DSSs) are popular. In this paper, we propose to complement multiagent DSS for transportation management by a service-oriented computing approach. In particular, we describe how organizational models can be used for service description and discovery. Our main contribution refers to the integration of agent organizations and services for transportation management to facilitate the on-the-fly adaptation, fault tolerance, and extensibility of the intelligent transport systems (ITS) architecture. We apply our approach to two real-world applications in the transportation management domain.