Russian and Finnish students to find ways to optimize Tomsk routes via Big Data technologies

Tomsk Polytechnic University is hosting the International Scientific School Smart City Transport — Innovating Sustainable Solutions Using Big Data, which has brought together international student teams. For several days, they are dealing with transport issues of a smart city using technologies of big data and circular economy.

“Welcome to Tomsk! It is the second time TPU has hold the School and I believe that this is only one of the stages of our collaboration and it will continue further.

I believe the School will be very successful and you will demonstrate your best qualities and skills in solving complex issues and, in addition, you will join the Tomsk student community and feel the special atmosphere of our university and the city,”

— Anton Demin, Deputy Director for Development at School of Computer Science & Robotics, says to the school participants.

Students and teachers of VAMK University of Applied Sciences (Vaasa city, Finland), Irkutsk National Research Technical University, and engineering students from India, Ecuador, China, and Thailand participate in the School. They have formed four international teams, including representatives of various academic domains. According to the organizers, it is the multidisciplinary teams that are most effective in solving urgent problems of smart cities.

“The most fruitful option is cooperation at the junction of different specialties. For instance, people, engaged in transport issues, have certain tasks to solve and many ideas, but they fail to draw them up effectively. Therefore, it is excellent that our students will have a chance to gain new experience and share their knowledge with other participants,” Alexey Levashev, Technical Director of the Transport Laboratory of INRTU, says.

The School enables students to come up with the solutions and master effective interaction, find more about various aspects of Big Data, and the concept of the circular economy. To do this, the organizers prepared a number of interesting lectures dedicated to big data technologies used in planning urban transport routes, circular economy and innovation, project management, research on national business cultures, and others.

In the case itself, the main task of the teams is to optimize the passenger flow of the smart city through innovative methods. Additionally, they have to approach the solution of the problem comprehensively. The teams, equipped with GPS-trackers, will track the movement of popular student routes in Tomsk. Then the collected data will be processed into a format convenient for analysis. After this, the teams will take into account a number of key factors and build a special 3D model, reflecting transport planning, analysis of a load of routes at rush hour and many others. As a result, the teams will present their comprehensive solutions for optimizing routes and passenger flow in Tomsk. The results will be announced on Monday, December 2.

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The event is held under the international agreement  "Ostrobothnia Siberia First" within academic mobility program - First plus. It is focused on the promotion of knowledge in the field of processing and analysis of big data, the circular economy and skills required to work in an interdisciplinary international team to solve practical problems