The iNiT group was created to mainly investigate all the issues related to Vehicular Networks, from the Communications side, to the Information Systems related. Basically, Vehicular Networks are the technological support that allows the implementation and development of the so-called Intelligent Transportation Systems (ITS), enabling the communication between vehicles (V2V), and between vehicles and the infrastructure (V2I). Such networks have generated great interest in recent years (especially among researchers, public authorities, and car makers) due to the large number of applications that they can support. Our research guidelines can be summarized in the following items:
- Base Technologies and Communications Networks. We want to propose new solutions related to wireless communication between vehicles.
- Intelligent Systems applied to vehicular environments. The aim is to propose and develop intelligent mechanisms able to automatically manage the proposed services.
- Design and Information Architecture of vehicular environments. We seek to establish the basis for the high-level information exchange between the different stakeholders (vehicles, infrastructure units, police, etc.).
- Metadata and Information Retrieval. Since the information exchanged between vehicles must be properly structured, we will establish the premises to be met by data used in vehicular networks, as well as the metadata to be used, which will enable efficient communications. Additionally, algorithms capable of automatic data recovery will be proposed.
Our group is doing an exhaustive study of most of Intelligent Transportation Systems issues, and we are also proposing new ideas to improve the implementation of vehicular networks in the very near future. We work on several levels, namely:
- To propose methods to improve the communication between vehicles, and between vehicles and infrastructure
- To propose mechanisms that define what information should be exchanged between the different actors involved in vehicular networks, and how information should be exchanged
- To propose mechanisms that, applying Artificial Intelligence concepts, will be able to: (i) prevent accidents, (ii) improve and accelerate the rescue process of wounded people in case an accident has already occurred, (iii) improve road traffic, by reducing travel times and CO2 emissions, (iv) improve ride comfort, and (v) offer fleet management capabilities, and control the goods transported
- To propose algorithms and methods to manage massive data sets in vehicular environments