Vehicular Networks

Project Summary:

A standard for vehicular ad hoc networks has recently been adopted. In 2025, 80% of the vehicle fleet within Europe is predicted to apply to the standard, enabling new services and applications. A main goal will be to increase traffic safety and reduce the environmental impact of the vehicular transportation system. The vision of the proposed research program is to develop efficient, secure and reliable communication networks and sensor systems to enable the transformation of the vehicular transport system of today into a greener, smarter and safer system. Recent advances in sensor technology, low power electronics, radio-frequency devices, wireless communications, security, and networking have enabled the engineering of intelligent road safety, decrease cost of transportation, and contribute to a sustainable environment.

The Vehicular Networks framework project acts as umbrella for various subprojects related intelligent transporation systems (ITS).

Subproject MOTION: Exploring human mobility and optimizing the usage of the transportation network using vehicular network technologies

In order to understand individual mobility on a countrywide scale, it is important to rely on large-scale mobility datasets. Suitable datasets that would allow such an analysis are Call Detail Records (CDR)  that are available at mobile phone operators. CDRs provide details on incoming and outgoing calls with the main goal of building network usage reports. In the proposed project, we plan to extend the usage of CDR to study individual mobility. It is clear that before the data can be made available, all privacy-related information must be removed. The resulting anonymised dataset will provide important information on how people move from one cellular base station to another. Please note that those datasets only provide information on how people move (not personally identifiable information). However, if aggregated on a large-scale, it provides valuable information on the socio-economic mobility patterns that can be exploited for a large number of applications and services including transportation optimization. Another advantage of this dataset is that it includes cross-border commuters, as their mobile phones register with the Luxembourgish mobile phone network (even those not covered by a Luxembourg contract).