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Prof Francesco Bellotti, Prof A De Gloria
Applications accepted all year round
Competition Funded PhD Project (Students Worldwide)
About the Project
The project involves technologies and methodologies for development, deployment and management of architectures, applications and services aimed at supporting traffic and multi/co-modal mobility. This sector concerns two quickly developing areas: 1) network technologies and architectures (Internet of Services / Future Internet, Cloud, networked service mesh-up, etc.), 2) technologies and methodologies for Intelligent Transport Systems, ITS (Real-time Multimodal Traffic / Travel Information).
The project consists of 3 main phases.
The first one is the definition of the requirements and specifications of the system, both from the technical point of view and that of the final user and stakeholders (e.g., motorway operators, municipalities).
The second phase is the design and implementation of the application modules (e.g., a traffic predictor, or an advanced Human-Computer Interaction based on in-vehicles Liquid Crystal Display and connections with user's smartphones).
the modules will typically rely on machine learning prediction algorithms (e.g., Bayesian networks, neural networks) and/or (with sensor fusion) signal processing (Kalman filtering) dynamic, and integrate information about external events, like the port acitivity (e.g., arrival of ferries) and meteo conditions. Events will be defined semantically and formally modeled (especially in terms of effects) to be recognized and considered for the prediction. User modeling is a key factor, in particular for HCI development.
The project will be in cooperation with industrial partners at national and international level, in particular in the field of automotive.
The third phase is testing and verification, which is done in parallel with development (in lab) but also at the end, with end-users. .
The project consists of 3 main phases.
The first one is the definition of the requirements and specifications of the system, both from the technical point of view and that of the final user and stakeholders (e.g., motorway operators, municipalities).
The second phase is the design and implementation of the application modules (e.g., a traffic predictor, or an advanced Human-Computer Interaction based on in-vehicles Liquid Crystal Display and connections with user's smartphones).
the modules will typically rely on machine learning prediction algorithms (e.g., Bayesian networks, neural networks) and/or (with sensor fusion) signal processing (Kalman filtering) dynamic, and integrate information about external events, like the port acitivity (e.g., arrival of ferries) and meteo conditions. Events will be defined semantically and formally modeled (especially in terms of effects) to be recognized and considered for the prediction. User modeling is a key factor, in particular for HCI development.
The project will be in cooperation with industrial partners at national and international level, in particular in the field of automotive.
The third phase is testing and verification, which is done in parallel with development (in lab) but also at the end, with end-users. .
Funding Notes
The Ph. D. student standard salary is € 14,000 tax-free per year. (no tuition fees, apart from a subscription in the order of 20€)
Reawrds may be awarded for achievement of significant targets (generally: € 1,000-3,000, annually).
For scolarships, figures are similar, but should be discussed based on the candidate's profile.
Reawrds may be awarded for achievement of significant targets (generally: € 1,000-3,000, annually).
For scolarships, figures are similar, but should be discussed based on the candidate's profile.