Dynamic Map Platform, BIPROGY, NEXT Logistics Japan , and Yamato Transport announced on February 19 that they have developed a data linkage system to support autonomous driving . The aim is to optimize logistics through safe driving of autonomous trucks and smooth joint transport. The linkage system was developed as part of the New Energy and Industrial Technology Development Organization’s (NEDO) “Digital Infrastructure Development Project for Industrial DX/Research and Development on Foundations Contributing to the Early Implementation of Digital Lifelines.”
Dynamic Map Platform developed a data linkage system that can provide vehicles with weather information and traffic congestion data according to road shapes, while BIPROGY built a simulation environment using near-miss data obtained from vehicles and external systems. NEXT Logistics Japan and Yamato Transport developed a system that inputs data necessary for joint transport, such as cargo information and truck vacancy information, and matches cargo with empty space on trucks, as well as an API that allows shippers and logistics companies to work together.
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A demonstration experiment was conducted on February 25-27 between the Suruga Bay Numazu Service Area (SA) and Hamamatsu SA on the Shin-Tomei Expressway. The plan is to verify a range of issues, from formulating optimal operation plans for joint transport to supporting safe driving of autonomous vehicles, changing operation plans in response to changes in the driving environment, and supporting responses in emergencies. The aim of this project is to develop a data linkage system that supports autonomous driving, and to build a digital infrastructure for a group of data linkage platforms that will enable data linkage between multiple companies and industries by providing data sets necessary for functions common to the operations of each operator. The four companies aim for the infrastructure they build to be widely used not only in the logistics field, but in a variety of other fields as well.
SOURCE: Yahoo
