[Service Development Team Lee Hyeon-jeong] The Ministry of Land, Infrastructure and Transport held a presentation on the final outcome of the development of truck platooning technology on the 9th. The contents of the presentation were an overall explanation of platooning technology, V2X-based platooning vehicle control technology, mobile app-based platooning service technology, and directions for improving laws and systems for commercialization of platooning. Truck platooning is a technology that utilizes autonomous cooperative driving technology to automatically follow the preceding vehicle at regular intervals and operate as a single vehicle. In the demonstration video that was broadcast live, the trucks that received the signal from the leading truck automatically follow the lead at regular intervals like a single vehicle. It joins and leaves the group and runs while maintaining the distance between vehicles, but the driver of the vehicle behind you can also see his hand removed from the steering wheel.
After receiving the signal from the leading truck, the trucks drive at regular intervals (capture of demonstration video)See-through driving video in the visibility of the leading vehicle and the driver of the rear vehicle taking his/her hands off the steering wheel (capture of demonstration video)
According to the press release of the Ministry of Land, Infrastructure and Transport released on the same day, driver fatigue due to driving automation is expected to decrease and accidents caused by drowsy driving are also expected to decrease. It is said that fuel efficiency can be improved and the effect of reducing CO2 emission and fine dust can be expected. Among the technologies introduced on this day, there is an 'AI-based swarm matching technology' in the mobile app-based platoon operation service technology, which matches the platoon that generates the maximum profit considering vehicle information, traffic route, and expected time to join. However, not all of these attempts were positively evaluated. If the current problem with AI occurs on the road, it directly leads to a traffic accident, which leads to casualties and property loss. For example, if the artificial intelligence system and software do not sufficiently secure safety, or an error occurs in the communication process with traffic infrastructure, it can directly lead to a major traffic accident. In addition, it is difficult to find a solution because it is difficult to find the reason for such an error with the current safety verification method for AI models. And there was an evaluation that it is difficult to access a place where the reception of massive real-time data, the source of AI technology, is blocked. AI has already entered the form of providing convenience and pleasure in various areas of human life. As the above and negative evaluations are gradually improved, it is expected that AI on the road will develop into a form that guarantees convenience and safety for drivers. References
https://www.molit.go.kr/USR/NEWS/m_71/dtl.jsp?lcmspage=1&id=95085999 https://www.youtube.com/watch?v=iNrAP7LnFiY https://www.youtube.com/watch?v=9KH7hJO2_SA
