{"id":22341,"date":"2022-03-31T14:42:53","date_gmt":"2022-03-31T12:42:53","guid":{"rendered":"https:\/\/kinit.sk\/project\/softec-optimizing-winter-road-maintenance\/"},"modified":"2024-04-02T11:57:10","modified_gmt":"2024-04-02T09:57:10","slug":"softec-optimizing-winter-road-maintenance","status":"publish","type":"project","link":"https:\/\/kinit.sk\/sk\/projekt\/softec-optimizing-winter-road-maintenance\/","title":{"rendered":"Softec: Optimizing winter road maintenance (industry PhD)\u00a0"},"content":{"rendered":"
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Our common PhD project with Softec addresses new approaches to predictive modeling and optimization algorithms with a focus on machine learning and artificial intelligence methods. The application domain is winter road maintenance. We work together on reducing situations when the roads are dangerous to drive on and the pace of traffic slows down considerably.<\/h5>\n<\/div>\n\n
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In order to make the winter commutes safer and faster for the drivers, we work on novel ways of improving the current winter road maintenance systems, which are based on data analysis and machine learning techniques. <\/p>\n<\/div>\n\n

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Softec<\/a> collects data from customized IoT devices that monitor the road network. These data together with weather data from SHM\u00da will be used in the optimization proposal of dispatching the maintenance vehicles. The environmental impact is also important in this regard.<\/p>\n<\/div>\n\n

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In this project<\/a> we focus on three main research areas – providing a more accurate model of the current state of the roads, improving the forecast and simulation of the future state of the roads and developing a way to optimally manage the available resources. <\/p>\n<\/div>\n\n

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The first step is to improve precipitation nowcasting based on radar data. To handle this task we use artificial neural networks. This could help the dispatchers to make better proactive decisions and eventually serve as an input to a fully automated management system. <\/p>\n<\/div>\n\n

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Prediction methods, which are being developed within this project, are based on the novel trends in neural networks. We will verify them in the given domain, but we believe that our results will be applicable on a broader scale in several other domains.<\/p>\n<\/div>\n\n

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Project team<\/h2><\/div>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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Peter Pavl\u00edk<\/h5>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
Researcher<\/div>\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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Viera Rozinajov\u00e1<\/h5>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
Lead and Researcher<\/div>\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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Anna Bou Ezzeddine<\/h5>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
AI Specialist<\/div>\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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Marek L\u00f3derer<\/h5>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
AI Specialist<\/div>\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
Martin V\u00fdboh<\/h5>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
Research Engineer<\/div>\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section> \n<\/div>","protected":false},"featured_media":15992,"template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[81,132,349,369,415],"class_list":["post-22341","project","type-project","status-publish","has-post-thumbnail","hentry","category-data-analytics-for-green-energy-sk","category-industry-research-sk","category-2022-sk","category-phd-industry-sk","category-industry-research-project-sk"],"acf":[],"yoast_head":"\nSoftec: Optimizing winter road maintenance (industry PhD)\u00a0 - KInIT<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/kinit.sk\/sk\/projekt\/softec-optimizing-winter-road-maintenance\/\" \/>\n<meta property=\"og:locale\" content=\"sk_SK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Softec: Optimizing winter road maintenance (industry PhD)\u00a0 - KInIT\" \/>\n<meta property=\"og:description\" content=\"Our common PhD project with Softec addresses new approaches to predictive modeling and optimization algorithms with a focus on machine learning and artificial intelligence methods. 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