Building digital twins of existing highways using map data based on engineering expertise

2022 ◽  
Vol 134 ◽  
pp. 104081
Author(s):  
Feng Jiang ◽  
Ling Ma ◽  
Tim Broyd ◽  
Weiya Chen ◽  
Hanbin Luo
Keyword(s):  
2017 ◽  
Vol 5 (3) ◽  
pp. 14-33 ◽  
Author(s):  
Shoumen Palit Austin Datta

Multiple forms of digital transformation are imminent. Digital Twins represent one concept, where we may use tools and technologies to “map” data (bits) from objects (atoms). It is gaining momentum because the “map” can act as a “compass” to reveal the status of atoms (things, devices, components, machines, people), process visibility and real-time transparency. Adoption of digital proxies, or digital duplicates, may face hurdles due to lack of semantic interoperability between architectures, standards and ontologies. The technologies necessary for automated discovery are in short supply. Progress depends on the convergence of information technology, operational technology and protocol-agnostic telecommunications. Making sense of the data, ability to curate data, and perform data analytics, at the edge (or mist, rather than in the fog or cloud) is key to value. Delivering algorithm engines to the edge, are crucial for edge analytics, if latency is detrimental. The confluence of these, and other factors, may chart the future path for Digital Twins. The number of unknown unknowns, and the known unknowns, in this process, makes it imperative to create global infrastructures and organize groups, to pursue the development of fundamental building blocks. We need new ideas and research in new domains to generate creative and innovative solutions. 


Author(s):  
V. A. Minaev ◽  
A. V. Mazin ◽  
K. B. Zdiruk ◽  
L. S. Kulikov

The article presents the scientific and methodological issues of formation of digital twins collections based on the use of the multi-aspect recursive decomposition algorithm of the subject area. The general approaches to the solution of topical issues of the modern stage of artificial intelligence are considered. The terminology is concretized in the interrelated areas of knowledge – information – data and its relation with the term of «digital twins» as information containers of knowledge is discussed. The structure, power estimation and metrizability of the information space presented as a recursively defined ordered set of elements – a collection of digital twins (DT-collections) are considered. It is shown that the practical implementation of this approach and its application as part of automated control systems involves maintaining the life cycle of the creation and operation of digital twins in the Integrated information storage, implementing a two-circuit scheme (model) of management. A new cognitive approach to assess the completeness of the knowledge measure in the information space is proposed. The model of the integrated information storage realizing accumulation of knowledge in data banks of primary and secondary information is considered. As an example, a recursive decomposition of a subset of engineering systems of an educational institution is performed.


2019 ◽  
Vol 942 (12) ◽  
pp. 41-49
Author(s):  
A.M. Portnov

Using unified principles of formation and maintenance of register/cadaster with information about spatial data of landscape objects as the informational and technological basis for updating the public topographic maps and modernization of state cartographic system is proposed. The problems of informational relevancy of unified electronical cartographic basis and capacity of its renovation in case of public cadaster map data. The need to modernize the system of classification and coding of cartographic information, the use of unified standards for the coordinate description of register objects for their topological consistency, verification and updating is emphasized. Implementing such solutions is determined by economical expediency as well as necessity of providing a variety of real thematic data for wide range of consumers in the field of urban planning, territories development and completing the tasks of Governmental program “Digital economy of the Russian Federation”.


2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi62-vi63
Author(s):  
Ravi Narayan ◽  
Piet Molenaar ◽  
Fleur Cornelissen ◽  
Tom Wurdinger ◽  
Jan Koster ◽  
...  

Abstract Personalized cancer treatments using synergistic combinations of drugs is attractive but proves to be highly challenging. The combinatorial nature of such problems results in an enormous parameter space that cannot be resolved by empirical research, i.e. testing all combinations for all molecularly defined tumors. In addition, effective drug synergy is hard to predict. Here we present an approach to map data of drug-response encyclopedias and represent these as a drug atlas. This atlas consists of a framework of chemotherapeutic responses that represents a drug vulnerability landscape of cancer. Based on data from the literature we found that many synergistic drug combinations show distinct inter therapy responses and drug sensitivities. We confirmed this by performing a drug combination screen against glioblastoma where we used 270 combination experiments. From the identified dual therapies we were able to predict and validate a triple drug synergy which was validated in vivo. This new and generalizable strategy opens the door to unforeseen personalized multidrug combination approaches.


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