WAYS1's Local Dynamic Map as infrastructure system for Autonomous vehicle

WAYS1's Local Dynamic Map as infrastructure system for Autonomous vehicle

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WAYS1's Local Dynamic Map as infrastructure system for Autonomous vehicle
WAYS1's Local Dynamic Map as infrastructure system for Autonomous vehicle
WAYS1's Local Dynamic Map as infrastructure system for Autonomous vehicle

Information

[WAYS1's Local Dynamic Map (LDM)] LDM is an abbreviation for Local Dynamic Map, which is an infrastructure system for autonomous vehicles. It consists of a total of 4 layouts. This various information is mapped to a high-definition map and provided to autonomous vehicles. LDM contributes to achieving Level 4 autonomous cooperative driving by providing precise electronic maps and input/output and storage of dynamic road information, conforming to international standards in the ITS field. [WAYS1's LDM-TWIN solution] LDM-TWIN is digital-twin advanced road traffic management platform based on real-time. The digital-twin advanced traffic management platform (LDM TWIN) collects, aggregates, analyzes, and compiles road traffic information in real-time to provide accurate road traffic data. Through this precise information, it analyzes the causes of traffic issues (such as congestion, accidents, and jaywalking) and suggests improvement plan. Achieving the goal of expanding smart cities by introducing a new advanced road traffic management system that integrates construction, information and communication technologies, etc. Establishing a smart road traffic management system that enhances citizen safety by providing accurate road traffic information using advanced technologies such as precision mapping, AI object recognition and location analysis, mapping, 3D visualization, and digital twin. Data transmitted from the roadside LDM is transformed into 3D and can be monitored in real-time in the form of a digital twin. The center analyzes, aggregates, and classifies the collected information to create traffic information. It is possible to discover traffic problems (congestion, accidents, violations, etc.) and suggest improvements.

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