The development of traffic management and control strategies to improve traffic flows and road safety is necessary due to the high dynamism of traffic flows. The use of distributed intelligent systems can help the traffic organizations and the road operators to cope with possible incidents on the road network, especially when the incidents are related to adverse meteorological conditions. In that case, the probability of road accidents is increased due to the difficulty of driving under bad weather conditions. So, if the operators detect any meteorological incident, they must decide how to deal with it in order to improve traffic safety. In this paper we introduce a new multiagent system (MAS) to support traffic management when there appear meteorological problems in the road network. MAS technology helps to deal with the specific characteristics of traffic domain. The proposed MAS is able to work in two ways: a) coordinately, where all the agents work to solve weather problems in large networks and b) locally, where due to communications breakdown small groups of agents work together to inform road users about weather problems. The MAS has a rule-based system to deal with the meteorological data and decide the actions to take in front of any meteorological issue. This expert system also controls the quality of the data, improving the road operator confidence in the decisions taken by the expert system. However, weather sensors can provide wrong data, due to several factors (hardware failure, climate factors, etc.) so the rule based system controls these provided data by applying specific coherence and correlation rules to improve the quality of the taken decisions.
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The present paper describes the main characteristics and components of a tool developed for integrating the definition of profiles for semantic Web Services. This tool is based on the languages DAML-S and OWL-S. It includes the ontology visualization and consistency verification which specifies the concepts that a Web Service interacts with. Starting from a service description interpreted by a computer and by the means used for accessing the service, it is possible to discover which software agents use the service. The tool can generate information in different formats to represent graphic information based on XML, such as the SVG format proposed by the W3C. The tool was developed in Java language. It is being used for the visualization of ontologies and for the semantic description of services in traffic information systems. The LISITT group (Laboratorio Integrado de Sistemas Inteligentes y Tecnologías de la informació n de Tráfico) developed this tool at the Robotics Institute at the University of Valencia.Index Terms-Intelligent Web services and semantic Web, ontology design.
Nowadays there are vocabularies or languages able to describe concepts and data structures related to road traffic. Nevertheless, this description provides only a syntactic approach and it forgot the semantic knowledge. There not exist vocabularies or ontologies with semantic value that add significance to the vocabulary concepts and their relations.The objective to be reached of this paper is to present the research developed to build a representation scheme of a particular domain: the road traffic, with a well defined semantics. The inclusion of this semantic allows to obtain a formalized knowledge model. This model enables the development of an integrated architecture of traffic information from semantic web services. The ontologies created in this work are used to describe and add semantic value to the current parameters of the traffic services.
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