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 o

Team project-based learning (TPBL) combines two learning techniques: 1) project-based learning (PBL) and 2) teamwork. This combination leverages the learning outcomes of both methods and places students in a real work situation where they must develop and solve a real project while working as a team. TPBL has been used in two advanced database subjects in Jaume I University (UJI)’s Computer Science degree program. This learning method was used for four years (academic years from 2018/2019 to 2021/2022) with positive outcomes. This study presents the project development, which includes teamwork formation, activities, timetable, and exercised learning competencies (both soft and specific). Further, the project’s results were evaluated from three different perspectives: 1) teamwork evaluation by teammates; 2) students’ opinions on the subject and project; and 3) subject final grades.

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.

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 Tecnologias de la informacion de Trafico) developed this tool at the Robotics Institute at the University of Valencia.