Development of a Digital Twin of a Local Road Network: A Case Study

Optimal layout of a forest road network The road network is the backbone of forest management. When creating or redesigning a forest road network, one important question is how to shape the layout, this means to fix the spatial arrangement and the dimensioning standard of the roads. We consider two kinds of layout problems. First, new forest road network in an area without any such development yet, and second, redesign of existing road network for actual requirements. For each problem situation, we will present a method that allows to detect automatically the optimal road and harvesting layout. The method aims to identify a road network that concurrently minimizes the harvesting cost, the road network cost (construction and maintenance) and the hauling cost over the entire life cycle. Ecological issues can be considered as well. The method will be presented and discussed with the help of two case studies. The main benefit of the application of optimization tools consists in an objective-based planning, which allows to check and compare different scenarios and objectives within a short time. The responses coming from the case study regions were highly positive: practitioners suggest to make those methods a standard practice and to further develop the prototype to a user-friendly expert software.

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Modeling of Emergency Supply Scheduling Problem Based on Reliability and Its Solution Algorithm under Variable Road Network after Sudden-Onset Disasters

Complexity ◽

10.1155/2020/7501891 ◽

2020 ◽

Vol 2020 ◽

pp. 1-15 ◽

Cited By ~ 12

Author(s):

Tinggui Chen ◽

Shiwen Wu ◽

Jianjun Yang ◽

Guodong Cong ◽

Gongfa Li

Keyword(s):

Road Network ◽

Road Networks ◽

Sudden Onset ◽

The Road ◽

Bee Colony ◽

Proposed Model ◽

Effectiveness And Efficiency ◽

In Transit ◽

Emergency Supply

It is common that many roads in disaster areas are damaged and obstructed after sudden-onset disasters. The phenomenon often comes with escalated traffic deterioration that raises the time and cost of emergency supply scheduling. Fortunately, repairing road network will shorten the time of in-transit distribution. In this paper, according to the characteristics of emergency supplies distribution, an emergency supply scheduling model based on multiple warehouses and stricken locations is constructed to deal with the failure of part of road networks in the early postdisaster phase. The detailed process is as follows. When part of the road networks fail, we firstly determine whether to repair the damaged road networks, and then a model of reliable emergency supply scheduling based on bi-level programming is proposed. Subsequently, an improved artificial bee colony algorithm is presented to solve the problem mentioned above. Finally, through a case study, the effectiveness and efficiency of the proposed model and algorithm are verified.

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Digital Twin for Designing and Reconfiguring Human–Robot Collaborative Assembly Lines

Applied Sciences ◽

10.3390/app11104620 ◽

2021 ◽

Vol 11 (10) ◽

pp. 4620

Author(s):

Niki Kousi ◽

Christos Gkournelos ◽

Sotiris Aivaliotis ◽

Konstantinos Lotsaris ◽

Angelos Christos Bavelos ◽

...

Keyword(s):

Production System ◽

Assembly Lines ◽

Flexible Assembly ◽

Digital Twin ◽

Collaborative Assembly ◽

Geometrical Information ◽

Line Level ◽

Dual Arm ◽

Different Levels

This paper discusses a digital twin-based approach for designing and redesigning flexible assembly systems. The digital twin allows modeling the parameters of the production system at different levels including assembly process, production station, and line level. The approach allows dynamically updating the digital twin in runtime, synthesizing data from multiple 2D–3D sensors in order to have up-to-date information about the actual production process. The model integrates both geometrical information and semantics. The model is used in combination with an artificial intelligence logic in order to derive alternative configurations of the production system. The overall approach is discussed with the help of a case study coming from the automotive industry. The case study introduces a production system integrating humans and autonomous mobile dual arm workers.

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Digital Twin Enabled Smart Control Engineering as an Industrial AI: A New Framework and Case Study

2020 2nd International Conference on Industrial Artificial Intelligence (IAI) ◽

10.1109/iai50351.2020.9262203 ◽

2020 ◽

Author(s):

Jairo Viola ◽

YangQuan Chen

Keyword(s):

Control Engineering ◽

Digital Twin ◽

Smart Control ◽

New Framework

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Subsystem selection for digital twin development: A case study on an unmanned underwater vehicle

Ocean Engineering ◽

10.1016/j.oceaneng.2021.108629 ◽

2021 ◽

Vol 223 ◽

pp. 108629

Author(s):

Demetrious T. Kutzke ◽

James B. Carter ◽

Benjamin T. Hartman

Keyword(s):

Underwater Vehicle ◽

Digital Twin ◽

Unmanned Underwater Vehicle ◽

Selection For

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Macroscopic and Multi-Scale Models for Multi-Class Vehicular Dynamics with Uneven Space Occupancy: A Case Study

Axioms ◽

10.3390/axioms10020102 ◽

2021 ◽

Vol 10 (2) ◽

pp. 102

Author(s):

Maya Briani ◽

Emiliano Cristiani ◽

Paolo Ranut

Keyword(s):

Road Network ◽

Real Data ◽

Second Order ◽

Heavy Vehicles ◽

First Order ◽

Multi Scale ◽

Stop And Go ◽

Scale Models ◽

Road Space

In this paper, we propose two models describing the dynamics of heavy and light vehicles on a road network, taking into account the interactions between the two classes. The models are tailored for two-lane highways where heavy vehicles cannot overtake. This means that heavy vehicles cannot saturate the whole road space, while light vehicles can. In these conditions, the creeping phenomenon can appear, i.e., one class of vehicles can proceed even if the other class has reached the maximal density. The first model we propose couples two first-order macroscopic LWR models, while the second model couples a second-order microscopic follow-the-leader model with a first-order macroscopic LWR model. Numerical results show that both models are able to catch some second-order (inertial) phenomena such as stop and go waves. Models are calibrated by means of real data measured by fixed sensors placed along the A4 Italian highway Trieste–Venice and its branches, provided by Autovie Venete S.p.A.

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Sustainable Maintenance of low level road network

MATEC Web of Conferences ◽

10.1051/matecconf/201819604063 ◽

2018 ◽

Vol 196 ◽

pp. 04063

Author(s):

Jan Mikolaj ◽

L’uboš Remek

Keyword(s):

Network Management ◽

Management System ◽

Road Network ◽

Road Networks ◽

Pavement Management ◽

Network Management System ◽

Simple Method ◽

Low Level ◽

Technical Requirements ◽

Local Road

Main goal of Road Network Management System is to ensure safety and continuity of road traffic on road network with low intensity and lower technical requirements. This is achieved with pavement management system (main component of road network management system). Most countries developed custom Pavement management systems (PMS) based on deterministic or probabilistic approach. Local road administrators of low level road networks often lack the software equipment such as HDM-4, RoSy, Exor, etc. These and similar PMS Most PMS, however effective, are often cumbersome, demanding in regard to energy, know-how and software equipment. The majority of local road administrators of rural road networks thus resort to non-effective reactive maintenance strategies. This article describes an easy to use method, based on predetermined maintenance repair & rehabilitation standards. Secondly, a simple method, based on road user cost, is introduced that administrator can use to prepare a list of road section eligible for repair according to their repair priority.

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