The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
To contribute to answer some of the main issues for large scale traffic flow problems and in order to integrate the road activity in the total supply chain, we applied the Bond Graph approach in this field. Where this approach intervenes to represent the dynamic behavior of systems by using a graphic language unified for all engineering's fields. The objective was to develop a traffic model that can be easily adapted to the aimed analysis level. Such model makes it possible to describe the collective vehicular flow dynamic within a traffic network. Moreover, it makes it possible to be focused on the behaviour of individual vehicles and their interactions. With this intention, firstly, we have developed a macroscopic Bond Graph model of the traffic flow. Indeed, we used the bond graph approach to develop a dynamic traffic system model in which the global characteristics of traffic flow (flow rate, density, and velocity) are re-interpreted by the bond graph parameters. The graphic character of the Bond Graph opens the possibility of directly representing on a graph, the average flow rate and the density through the intermediary of the power variables of Bond Graph, while explaining the specific logic used and expressing the semantics of the phenomena which occur. Then, we adapted this macroscopic Bond Graph model to the description of the flow composition of vehicles and their interactions. To describe the traffic flow in a finer way, we identified again the Bond Graph parameters of the model already developed, where we exploited, on the one hand the definitions of a microscopic model (cellular Automata) and, on the other hand the principle of spatial discretization of the traffic model. This adaptation carried out to develop the microscopic Bond Graph model of the traffic flow which allows describing the behavior of vehicles flow more finely.
Inappropriate format for Document type, expected simple value but got array, please use list format