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The Ministry of Land, Infrastructure and Transport launches an AI traffic accident risk prediction program (T-Safer).

Google 우선 소스Published2022.08.17 09:41

▲T-Safer traffic accident risk prediction example data (Ministry of Land, Infrastructure and Transport)


T-Safer: Traffic Safety Big Data and AI-Based Accident Risk Factor Analysis
Reactive approach → proactive and preventive system… First application on actual roads


'T-Safer', an AI-based traffic accident risk prediction system developed by domestic researchers, protects citizens from traffic accidents by eliminating traffic accident risk factors in advance.

The Ministry of Land, Infrastructure and Transport and the Korea Transportation Safety Authority announced that they will begin pilot operation of 'T-Safer (Transportation Safety Keeper),' a traffic accident risk prediction system utilizing AI technology, in the national highway sector starting on the 17th.

T-Safer is a traffic accident prediction system that uses AI to analyze accident risk factors and provide solutions based on traffic safety-related big data, first developed by the Korea Transportation Safety Authority in collaboration with KAIST.

Since May, the Iksan Regional Office of Land, Infrastructure and Transport and the Korea Transportation Safety Authority have been developing the T-Safer system to predict traffic accident risks, designating the approximately 48km section of National Road No. 17 between Yeosu and Suncheon and the approximately 23km section of National Road No. 21 between Jeonju and Iksan as pilot project sections.

T-Safer can help build big data on traffic safety. It integrates traffic safety-related data scattered across various organizations to build big data. This includes driver driving characteristics information, GIS information, and traffic accident information.

Based on this, road sections are divided into 500m-long links to predict traffic accident risks, and big data is analyzed to predict the traffic accident risk of each section from 0 to 4 levels and display them on a traffic safety risk map.

In addition, we provide road operators with a comprehensive solution, the Safety Report, to support the development of traffic safety solutions, which can then be used to prioritize traffic safety improvements and implement traffic accident prevention measures.

T-Safer analyzes vehicle speed, traffic volume, and risky driving behavior based on CCTV footage, and is equipped with a function that notifies drivers of the risk of traffic accidents in real time through a virtual message board (VMS) when the risk of traffic accidents increases.

The Ministry of Land, Infrastructure and Transport and the Korea Transportation Safety Authority announced that they plan to expand T-Safer to various areas, including other national highway sections and urban areas, based on the results of the pilot operation on national highway sections, and to implement T-Safer on the platform in the long term.

Yoon Jin-hwan, Director General of Comprehensive Transportation Policy at the Ministry of Land, Infrastructure and Transport, said, “Until now, traffic safety management methods have been reactive, such as improving road structures after traffic accidents have occurred, but T-Safer is a proactive and preventive traffic safety management system that is very significant in that it has been applied to actual roads for the first time.” He added, “We will actively strive to realize a country that is safe from traffic accidents by eliminating risk factors for traffic accidents in advance.”
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