Martí-Franquès COFUND Fellowship Programme


Details

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Reference:

2021MFP-COFUND-13

Area:

Engineering and Architecture

Supervisor name and surname:

Domenec Puig Valls

Supervisor email:

domenec.puig@urv.cat

Supervisor short biography

PhD programme:

Computer Science and Mathematics of Security

Title of the research project:

Design and implementation of Cooperative Intelligent Transport Systems in Southern Catalonia

Description of the research project:

In the field of information and communication technologies, in addition to the benefits obtained through today`s classic systems such as video cameras and traffic sensors, important innovations will be released in the coming years. The biggest innovation is expected to be the implementation of C-ITS (Cooperative Intelligent Transport Systems) cooperative systems that will allow V2V (vehicle to vehicle) and V2I (vehicle to infrastructure) communication. This technology will allow each vehicle to report relevant information on its condition, traffic conditions in its environment and the state of the infrastructure. At the same time, the vehicles will receive direct information from the other vehicles in their environment and also from the road infrastructure. Thanks to the use of these technologies it is possible to optimize the route to follow or the speed of vehicles, and therefore energy consumption, or inform each driver of the actions of drivers in their environment that may pose a danger to the your safety. If developed and implemented successfully, these systems can be the key to solving many of the current and future problems of transport, and which are obviously shared by the road infrastructure that we can call the "road of the future". A well-sensed road will increase economic efficiency, improve sustainability and save many lives. For all these reasons, we propose this project that focuses its objectives on the sensorisation of the road infrastructure and that makes it more "smart".

Objectives:

O1: Implement a web interface for administrators that provides statistical information, predictions and smart recommendations for improving infrastructure management.
O2: Detect, analyze and report in real time incidents on the tracks, essentially from cameras and photonic sensors.
O3: Development of V2I communication mechanisms to detect intelligent signals, sensors and road elements and also allow the control of safe and anonymous access of vehicles to restricted traffic areas.

Fulfillment of the above objectives will mean obtaining an architecture made up of the following elements: i) cloud service platform; ii) mobile application by users; iii) vehicle anti-collision communication and radar module and; iv) intelligent road infrastructure (signals, cameras, etc.). The cloud platform will be where the processing of mass data (Big Data) with Artificial Intelligence (AI) will take place.


Highly desirable attributes of the ideal candidate

* Demonstrated previous experience in one or more of the following topics: pattern recognition, machine learning, deep learning
* Hold a Master degree, or equivalent, in: Computer Engineering or Artificial Intelligence
* Language skills: English
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Ethics: This project doesn’t involve ethical aspects

Workplace Location: Campus Sescelades, Tarragona

Gross anual salary:

27103.20 €

Dedication:

Full time

Working hours:

37.5 hours a week

Earliest expected start date:

14 February 2022

European union This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 945413