The whole process of converting a city into the new concept of Smart City implies the improvement of the efficiency and quality of services made available by governments and businesses and a corresponding increase in citizens' quality of life. This process requires a series of actions that include data collection, processing and use of this information for its dissemination among citizens. For example, it is necessary to promote the use and reuse of information from the government or private entities as open data and therefore made more useful and appropriate for citizens. Technologies such as sensor networks, ubiquity, connectivity infrastructure-vehicles and others, become essential elements to achieve this goal. In this paper we present some relevant aspects related to these lines of action in a Smart City and their application to the traffic management data in the city of Valencia.

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

Road Traffic presents a high dynamism which makes necessary the development of traffic management and control strategies to improve traffic flows and more important, road safety. This dynamism makes necessary the use of intelligent systems to support traffic organizations and road operators to cope with incidents. In this paper we introduce a new expert system to support traffic management when weather problems occur in the road network. The system uses multiagent technology to work with the specific characteristics of traffic domain and is able to work in two modes: a) coordinately, where all the agents works to solve problems in large networks and b) locally where due to communications problems little groups of agents works together to inform road users about traffic problems.

Improving Semantic Web Service Discovery

The significance of Linked Open Data datasets for traffic information extends beyond just including open traffic data. It incorporates links to other relevant thematic datasets available on the web. This enables federated queries across different data platforms from various countries and sectors, such as transport, geospatial, environmental, weather, and more. Businesses, researchers, national operators, administrators, and citizens at large can benefit from having dynamic traffic open data connected to heterogeneous datasets across Member States. This paper focuses on the development of a semantic model that enhances the basic service to access open traffic data through a LOD-enhanced Traffic Information System in alignment with the ITS Directive (2010/40/EU). The objective is not limited to just viewing or downloading data but also to improve the extraction of meaningful information and enable other types of services that are only achievable through LOD. By structuring the information using the RDF format meant for machines and employing SPARQL for querying, LOD allows for comprehensive and unified access to all datasets. Considering that the European standard DATEX II is widely used in many priority areas and services mentioned in the ITS Directive, LOD DATEX II was developed as a complementary approach to DATEX II XML. This facilitates the accessibility and comprehensibility of European traffic data and services. As part of this development, an ontological model called dtx_srti, based on the DATEX II Ontology, was created to support these efforts.