Relevant bibliographies by topics / Road infrastructure monitoring

Academic literature on the topic 'Road infrastructure monitoring'

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Published: 14 March 2023

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Journal articles on the topic "Road infrastructure monitoring"

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Braunfelds, Janis, Ugis Senkans, Peteris Skels, Rims Janeliukstis, Toms Salgals, Dmitrii Redka, Ilya Lyashuk, et al. "FBG-Based Sensing for Structural Health Monitoring of Road Infrastructure." Journal of Sensors 2021 (January 8, 2021): 1–11. http://dx.doi.org/10.1155/2021/8850368.

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Public road infrastructure is developed all around the world. To save resources, ensure public safety, and provide longer-lasting road infrastructure, structural health monitoring (SHM) applications for roads have to be researched and developed. Asphalt is one of the largest used surface materials for the road building industry. This material also provides relatively easy fiber optical sensor technology installment, which can be effectively used for SHM applications—road infrastructure monitoring as well as for resource optimization when road building or their repairs are planned. This article focuses on the research of the fiber Bragg grating (FBG) optical temperature and strain sensor applications in road SHM, which is part of the greater interdisciplinary research project started at the Riga Technical University in the year 2017. Experimental work described in this article was realized in one of the largest Latvian road sites where the FBG strain and temperature sensors were installed into asphalt pavement, and experiments were carried out in two main scenarios. Firstly, in a controlled environment with a calibrated falling weight deflectometer (FWD) to test the installed FBG sensors. Secondly, by evaluating the real-time traffic impact on the measured strain and temperature, where different types of vehicles passed the asphalt span in which the sensors were embedded. The findings in this research illustrate that by gathering and combining data from calibrated FWD measurements, measurements from embedded FBG optical sensors which were providing the essential information of how the pavement structure could sustain the load and information about the traffic intensity on the specific road section, and the structural life of the pavement can be evaluated and predicted. Thus, it enables the optimal pavement future design for necessary requirements and constraints as well as efficient use, maintenance, and timely repairs of the public roads, directly contributing to the overall safety of our transportation system.
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Braunfelds, Janis, Ugis Senkans, Peteris Skels, Rims Janeliukstis, Toms Salgals, Dmitrii Redka, Ilya Lyashuk, et al. "FBG-Based Sensing for Structural Health Monitoring of Road Infrastructure." Journal of Sensors 2021 (January 8, 2021): 1–11. http://dx.doi.org/10.1155/2021/8850368.

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Public road infrastructure is developed all around the world. To save resources, ensure public safety, and provide longer-lasting road infrastructure, structural health monitoring (SHM) applications for roads have to be researched and developed. Asphalt is one of the largest used surface materials for the road building industry. This material also provides relatively easy fiber optical sensor technology installment, which can be effectively used for SHM applications—road infrastructure monitoring as well as for resource optimization when road building or their repairs are planned. This article focuses on the research of the fiber Bragg grating (FBG) optical temperature and strain sensor applications in road SHM, which is part of the greater interdisciplinary research project started at the Riga Technical University in the year 2017. Experimental work described in this article was realized in one of the largest Latvian road sites where the FBG strain and temperature sensors were installed into asphalt pavement, and experiments were carried out in two main scenarios. Firstly, in a controlled environment with a calibrated falling weight deflectometer (FWD) to test the installed FBG sensors. Secondly, by evaluating the real-time traffic impact on the measured strain and temperature, where different types of vehicles passed the asphalt span in which the sensors were embedded. The findings in this research illustrate that by gathering and combining data from calibrated FWD measurements, measurements from embedded FBG optical sensors which were providing the essential information of how the pavement structure could sustain the load and information about the traffic intensity on the specific road section, and the structural life of the pavement can be evaluated and predicted. Thus, it enables the optimal pavement future design for necessary requirements and constraints as well as efficient use, maintenance, and timely repairs of the public roads, directly contributing to the overall safety of our transportation system.
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Ye, Zhoujing, Guannan Yan, Ya Wei, Bin Zhou, Ning Li, Shihui Shen, and Linbing Wang. "Real-Time and Efficient Traffic Information Acquisition via Pavement Vibration IoT Monitoring System." Sensors 21, no. 8 (April 10, 2021): 2679. http://dx.doi.org/10.3390/s21082679.

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Traditional road-embedded monitoring systems for traffic monitoring have the disadvantages of a short life, high energy consumption and data redundancy, resulting in insufficient durability and high cost. In order to improve the durability and efficiency of the road-embedded monitoring system, a pavement vibration monitoring system is developed based on the Internet of things (IoT). The system includes multi-acceleration sensing nodes, a gateway, and a cloud platform. The key design principles and technologies of each part of the system are proposed, which provides valuable experience for the application of IoT monitoring technology in road infrastructures. Characterized by low power consumption, distributed computing, and high extensibility properties, the pavement vibration IoT monitoring system can realize the monitoring, transmission, and analysis of pavement vibration signal, and acquires the real-time traffic information. This road-embedded system improves the intellectual capacity of road infrastructure and is conducive to the construction of a new generation of smart roads.
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Song, Yongze, Graeme Wright, Peng Wu, Dominique Thatcher, Tom McHugh, Qindong Li, Shuk Li, and Xiangyu Wang. "Segment-Based Spatial Analysis for Assessing Road Infrastructure Performance Using Monitoring Observations and Remote Sensing Data." Remote Sensing 10, no. 11 (October 26, 2018): 1696. http://dx.doi.org/10.3390/rs10111696.

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Road infrastructure is important to the well-being and economic health of all nations. The performance of road pavement infrastructure is sophisticated and affected by numerous factors and varies greatly across different roads. Large scale spatial analysis for assessing road infrastructure performance is increasingly required for road management, therefore multi-source factors, including satellite remotely sensed climate and environmental data, and ground-monitored vehicles observations, are collected as explanatory variables. Different from the traditional point or area based geospatial attributes, the performance of pavement infrastructure is the line segment based spatial data. Thus, a segment-based spatial stratified heterogeneity method is utilized to explore the comprehensive impacts of vehicles, climate, properties of road and socioeconomic conditions on pavement infrastructure performance. Segment-based optimal discretization is applied on discretizing segment-based pavement data, and a segment-based geographical detector is utilized to assess the spatial impacts of variables and their interactions. Results show that the segment-based methods can more reasonably and accurately describe the characteristics of line segment based spatial data and assess the spatial associations. The two major categories of factors associated with pavement damage are the variables of traffic vehicles and heavy vehicles in particular, and climate and environmental conditions. Meanwhile, the interactions between the explanatory variables in these two categories have much more influence than the single explanatory variables, and the interactions can explain more than half of the pavement damage. This study highlights the great potential of remote sensing based large scale spatial analysis of road infrastructures. The approach in this study provides new ideas for spatial analysis for segmented geographical data. The findings indicate that the quantified comprehensive impacts of variables are practical for wise decision-making for road design, construction and maintenance.
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Ivanova, E., S. Gospodinov, and D. Boyadzhieva. "Monitoring of road infrastructure operation indicators using mobile laser scanning." IOP Conference Series: Materials Science and Engineering 1276, no. 1 (February 1, 2023): 012025. http://dx.doi.org/10.1088/1757-899x/1276/1/012025.

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Abstract The main problems of the national and local road infrastructure in the Republic of Bulgaria are the significant percentage of routes with poor and unsatisfactory operation indicators, and the significant number of road traffic accidents annually. This paper provides a summary assessment of Mobile Laser Scanning (MLS) as a means providing a package of activities that improve roads’ technical and operational parameters and increase road’s safety. It is noted that the use of MLS technology provides high-information value results, and surveying process is significantly faster and safer than that of conventional geodetic methods.
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Wang, Wei. "Construction Technology and Safety Monitoring Measures of Road and Bridge Engineering." Journal of Architectural Research and Development 5, no. 5 (September 28, 2021): 32–35. http://dx.doi.org/10.26689/jard.v5i5.2542.

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With the acceleration of urbanization and the continuous improvement of urban infrastructure construction, roads and bridges, as an important infrastructure content in China, directly affect people’s daily travel. Therefore, the construction and management of roads and bridges must be improved to ensure the quality and safety of roads and bridges and effectively prevent safety accidents. Strengthen the management of road and bridge construction through safety monitoring, improve the safety factor of the project and ensure people’s travel safety. This paper mainly analyzes the common diseases and construction technology of road and bridge engineering construction, and puts forward safety monitoring measures.
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Soilán, Sánchez-Rodríguez, Río-Barral, Perez-Collazo, Arias, and Riveiro. "Review of Laser Scanning Technologies and Their Applications for Road and Railway Infrastructure Monitoring." Infrastructures 4, no. 4 (September 20, 2019): 58. http://dx.doi.org/10.3390/infrastructures4040058.

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Improving the resilience of infrastructures is key to reduce their risk vulnerability and mitigate impact from hazards at different levels (e.g., from increasing extreme events, driven by climate change); or from human-made events such as: accidents, vandalism or terrorist actions. One of the most relevant aspects of resilience is preparation. This is directly related to: (i) the risk prediction capability; (ii) the infrastructure monitoring; and (iii) the systems contributing to anticipate, prevent and prepare the infrastructure for potential damage. This work focuses on those methods and technologies that contribute to more efficient and automated infrastructure monitoring. Therefore, a review that summarizes the state of the art of LiDAR (Light Detection And Ranging)-based data processing is presented, giving a special emphasis to road and railway infrastructure. The most relevant applications related to monitoring and inventory transport infrastructures are discussed. Furthermore, different commercial LiDAR-based terrestrial systems are described and compared to offer a broad scope of the available sensors and tools to remote monitoring infrastructures based on terrestrial systems.
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Grigorenko, N. I., and E. E. Yanchuk. "DIAGNOSTICS OF THE ROAD CONDITION USING AN UNMANNED AERIAL VEHICLE." World of Transport and Transportation 15, no. 3 (June 28, 2017): 86–92. http://dx.doi.org/10.30932/1992-3252-2017-15-3-7.

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[For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version)].ABSTRACT With increasing requirements for durability, reliability and safety of roads and their infrastructure, tools to control technical conditions of roads are being improved, involving operation of unmanned aerial vehicles that help to monitor the road infrastructure with the help of aerial photography. The authors of the article introduce a method of continuous automated monitoring developed by them, which is implemented in Moscow region. The wide functional capabilities of the UAV are confirmed for a number of diagnostic and technological tasks. Keywords: automobile road, geotechnical monitoring, diagnostics of roadway, infrastructure, geomass, unmanned aerial vehicle, aerial photography.
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Masino, Johannes, Jakob Thumm, Michael Frey, and Frank Gauterin. "Learning from the crowd: Road infrastructure monitoring system." Journal of Traffic and Transportation Engineering (English Edition) 4, no. 5 (October 2017): 451–63. http://dx.doi.org/10.1016/j.jtte.2017.06.003.

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Shen, Chen. "The Impact of Infrastructure Development on China–ASEAN Trade-Evidence from ASEAN." Sustainability 15, no. 4 (February 10, 2023): 3277. http://dx.doi.org/10.3390/su15043277.

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From the formal dialogue between China and ASEAN in 1991 to the establishment of the China–ASEAN FTA in 2010, the economic and trade relations between China and ASEAN countries have developed rapidly. With the continuous development of economic and trade relations, the infrastructural level between China and ASEAN has far lagged behind the needs of exchanges and trade. How to promote the development of bilateral trade through infrastructure construction and interconnection has become a concern of governments of all countries. In the context of China’s “Belt and Road” Initiative and the “Master Plan for ASEAN Connectivity”, new ideas and opportunities are provided for ASEAN infrastructure construction and its interconnection with China. Based on panel data from 2004 to 2020, this paper analyzes the impact of ASEAN infrastructure on the China–ASEAN trade volume. The analysis finds that road, port, shipping and communication infrastructure positively impact the bilateral trade volume, among which ports exert the greatest impact on the bilateral trade volume and roads have the least impact. For a more in-depth study, the transportation infrastructures of land and island countries are compared and analyzed separately. The impact of road infrastructure on trade is significant for land countries, while the impact of port infrastructure on trade is more remarkable for island countries. Finally, measures and suggestions on how to promote the development of bilateral trade are proposed on the basis of the above analysis.
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Dissertations / Theses on the topic "Road infrastructure monitoring"

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COCONEA, LAURA DANIELA. "Analysis, simulation and testing of ITS applications based on wireless communication technologies." Doctoral thesis, Politecnico di Torino, 2015. http://hdl.handle.net/11583/2598394.

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Intelligent Transportation Systems (ITS) aim to improve road transport safety and efficiency, to manage road networks in the interest of the society and to provide real time responses to events. In order to reach these goals, real time feedback to the drivers is expected through the integration of telecommunications, sensing and information technologies with transport engineering. Wireless communication technologies, that have been used in industrial applications for more than 30 years, play a crucial role in ITS, as based on the concept of multiple devices (on both vehicle and infrastructure side) interconnected in different ways. Connectivity, in tandem with sensing technologies, is fuelling the innovations that will inevitably lead to the next big opportunity for road transport: autonomous vehicles. Therefore, this study has investigated - through analysis, simulation and field testing – on applications based on wireless communication technologies meant to support both Data acquisition and Data diffusion as fundamental aspects/ phases in ITS, where data is widely individuated as being the key element.
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Barriera, Maria. "Nanosensor technology for road pavements monitoring." Thesis, Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAX092.

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Le réseau routier est l'un des atouts majeurs d'un pays. L'évaluation de l’état structurelle des infrastructures de transport routier et de leur évolution dans le temps est essentielle pour l'établissement de plans d'entretien rentables. À cet égard, l'instrumentation des chaussées permet une surveillance continue et à distance sans interruption de la circulation. Cependant, l'instrumentation reste un défi scientifique et technologique majeur en termes de résilience des dispositifs ainsi que de stratégies d'interprétation des données des capteurs. L'objectif global de cette thèse est de prouver la faisabilité du monitoring des routes par technologies de détection embarquées en démontrant l'exploitabilité des données de capteurs pour évaluer le vieillissement de la route et en fournissant une technologie à haute performance et faible intrusion. Nous proposons, via un essai accéléré à l'échelle 1, une validation des jauges de déformation pour la prédiction de l'endommagement par fatigue d'un revêtement routier. Ainsi, nous avons exploré l'utilisation de capteurs embarqués pour le calcul inverse des conditions mécaniques de la chaussée via l'instrumentation d'une route existante avec un réseau de jauges de déformation. La même section d'essai a servi d'environnement pour une première validation d'une nouvelle technologie de détection basée sur l'utilisation de capteurs de déformation flexibles à base de nanocarbone, testés plus tard dans la chaussée dans le cadre d'un essai accéléré. Nous avons ainsi démontré comment la nanotechnologie proposée pouvait répondre aux enjeux de l’instrumentation des chaussées en termes de géométrie, de compatibilité avec l'environnement routier, et de sensibilité
The road network is one of the major assets in our countries. The assessment of pavement conditions and their evolution with time is essential for the establishment of cost-effective maintenance plans. In this respect, pavement instrumentation allows remote and continuous monitoring with no traffic disruption. However it remains a major scientific and technological challenge in terms of devices resilience to the harsh road environment as well as of strategies for sensor data interpretation. The overall goal of this thesis is to prove the feasibility of embedded pavement monitoring by demonstrating the exploitability of embedded sensor data to assess road ageing, and by providing a high performance, low intrusiveness technology. We propose, via an accelerated pavement test, a validation of asphalt strain gauges as monitoring method for fatigue prediction in a road pavement. Thus, we further explored the use of embedded sensors for inverse calculation of pavement mechanical conditions via the instrumentation of an existing road with a network of asphalt strain gauges. The same trial section was the environment for a first validation of a novel sensing technology based on the use of nanocarbon-based flexible strain sensors, later tested under an accelerated pavement test. Thereby we demonstrated how the proposed nanotechnology can overcome some of the drawbacks of existing sensing devices in terms of geometry, compatibility with the road environment, and sensitivity
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Musekene, Eric Nndavheleseni. "A geographic perspective of labour-intensive methods in the development and maintenance of transport infrastructure." Thesis, 2010. http://hdl.handle.net/10500/3265.

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The study investigates the extent of distributional impacts of labour-intensive road projects using a geographical approach. The aim is to evaluate infrastructural effectiveness. The central premise is that the interface between road investment and economic development has broad implications that are beyond transportation’s basic purpose of providing access and mobility. Communities are motivated by the outcomes and impacts of road infrastructure development in improving the productiveness of the economy, in line with socio-economic development and other multiplying effects. The objective was to describe the nature and delivery mechanisms of labourintensive road projects, evaluate the impact thereof on the project participants and their communities and explore the constraints and challenges experienced by these initiatives. The impact of the Gundo Lashu programme was measured, based on an assessment of programme outputs, outcomes and impacts, to determine whether the project had the desired effects on individual participants and their households. A matched control case study design, using a combination of qualitative and quantitative approaches was adopted. The study found that the Gundo Lashu programme had achieved the expected outputs in terms of the total number of jobs created, total road length constructed and maintained. However, the communities’ socioeconomic outcomes and the impacts of the programme on poverty and sustainable livelihoods were mixed. These conclusions re-affirm the notion that the development of rural road infrastructure alone by labour-intensive construction methods, is not sufficient in tackling poverty. While government is focusing on addressing unemployment and skills development through labourintensive road construction programmes, there is a need to ensure proper integration of government services to make a significant impact. Huge deficiencies exist in the inter-linkages between the programme planning process and the municipal planning system and that there are a number of management and planning, structural and functional, human resources and funding barriers to proper planning, implementation and monitoring of projects within the Gundo Lashu programme. Various challenges and barriers emanates from lack of coordination, political interferences and lack of strategic direction. Key recommendations include comprehensive road planning, better project targeting mechanisms, development of guidelines for future maintenance, skills training and capacity development, and resultsbased monitoring.
Geography
D. Phil. (Geography)
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Jang, Jinwoo. "Development of Data Analytics and Modeling Tools for Civil Infrastructure Condition Monitoring Applications." Thesis, 2016. https://doi.org/10.7916/D82N52HN.

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This dissertation focuses on the development of data analytics approaches to two distinct important condition monitoring applications in civil infrastructure: structural health monitoring and road surface monitoring. In the first part, measured vibration responses of a major long-span bridge are used to identify its modal properties. Variations in natural frequencies over a daily cycle have been observed with measured data, which are probably due to environmental effects such as temperature and traffic. With a focus on understanding the relationships between natural frequencies and temperatures, a controlled simulation-based study is conducted with the use of a full-scale finite element (FE) model and four regression models. In addition to the temperature effect study, the identified modal properties and the FE model are used to explore both deterministic and probabilistic model updating approaches. In the deterministic approach (sensitivity-based model updating), the regularization technique is applied to deal with a trade-off between natural frequency and mode shape agreements. Specific nonlinear constraints on mode shape agreements are suggested here. Their capabilities to adjust mode shape agreements are validated with the FE model. To the best of the author's knowledge, the sensitivity-based clustering technique, which enables one to determine efficient updating parameters based on a sensitivity analysis, has not previously been applied to any civil structure. Therefore, this technique is adapted and applied to a full-scale bridge model for the first time to highlight its capability and robustness to select physically meaningful updating parameters based on the sensitivity of natural frequencies with respect to both mass and stiffness-related physical parameters. Efficient and physically meaningful updating parameters are determined by the sensitivity-based clustering technique, resulting in an updated model that has a better agreement with measured data sets. When it comes to the probabilistic approach, the application of Bayesian model updating to large-scale civil structures based on real data is very rare and challenging due to the high level of uncertainties associated with the complexity of a large-scale model and variations in natural frequencies and mode shapes identified from real measured data. In this dissertation, the full-scale FE model is updated via the Bayesian model updating framework in an effort to explore the applicability of Bayesian model updating to a more complex and realistic problem. Uncertainties of updating parameters, uncertainty reductions due to information provided by data sets, and uncertainty propagations to modal properties of the FE model are estimated based on generated posterior samples. In the second part of this dissertation, a new innovative framework is developed to collect pavement distress data via multiple vehicles. Vehicle vibration responses are used to detect isolated pavement distress and rough road surfaces. GPS positioning data are used to localize identified road conditions. A real-time local data logging algorithm is developed to increase the efficiency of data logging in each vehicle client. Supervised machine learning algorithms are implemented to classify measured dynamic responses into three categories. Since data are collected from multiple vehicles, the trajectory clustering algorithm is introduced to integrate various trajectories to provide a compact format of information about road surface conditions. The suggested framework is tested and evaluated in real road networks.
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Books on the topic "Road infrastructure monitoring"

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Vlasov, Vladimir, Veniamin Bogumil, and Ali Baytulaev. Digital infrastructure and telematics systems for monitoring the maintenance of roads. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1014643.

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The textbook gives the concept of digital infrastructure, shows its role as the technological basis of modern telematics systems for monitoring the maintenance of roads. The issues of creating and using elements of digital infrastructure in the road sector, as well as technological processes of automated control of maintenance of roads, streets, and highways are considered. The requirements for the main functions and characteristics of the telematics equipment of road vehicles and mechanisms are given. The material of the manual is based on the results of theoretical research and practical work on the creation and implementation of automated control systems for the maintenance of roads. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students studying in technical areas of training and specialties.
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Office, General Accounting. Highway safety: Monitoring practices to show compliance with speed limits should be reexamined : briefing report to the chairman, Subcommittee on Water Resources, Transportation, and Infrastructure, Committee on Environment and Public Works, U.S. Senate. Washington, D.C: The Office, 1988.

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Hegetschweiler, Tessa, Boris Salak, Anne C. Wunderlich, Nicole Bauer, and Marcel Hunziker. Das Verhältnis der Schweizer Bevölkerung zum Wald. Waldmonitoring soziokulturell WaMos3. Ergebnisse der nationalen Umfrage. Swiss Federal Institute for Forest, Snow and Landscape Research, WSL, 2022. http://dx.doi.org/10.55419/wsl:29973.

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The relationship of the Swiss population to the forest has been investigated in surveys since 1978, and in 1997 for the first time as part of the so-called “Sociocultural forest monitoring” or “Waldmonitoring soziokulturell” WaMos. This report describes the results of the national Wa- Mos3 survey 2020. The online panel of the market research institute LINK was used for the sur- vey. In addition to the representative survey of the adult population, a sample of 156 adolescents was also interviewed. The self-assessed level of information on forest topics has declined since WaMos2 (2010), with older people feeling better informed than younger people. The level of knowledge regarding the increase in forest area in Switzerland and the management of mountain forests for protection against natural hazards is also lower among younger people than among older ones. Today, the population attributes greater importance to most forest functions for society than in WaMos2. In particular, the ecological function, the production function and the recreational function have gained importance. More people than in WaMos2 (2010) assume that forest health has deteriorated. Changes due to climate change, such as drought damage, are perceived by the population. The majority of the population is in favour of active forest management for climate adaptation. With regard to the ecological function of the forest, most people know that biodiversity has decreased. Accor- dingly, the acceptance of forest reserves is high, as is that of large carnivores. Climate change, the expansion of settlements, introduced animal and plant species and pests are seen as the greatest threats to the forest. Great importance is attached to the protective function of the forest. Nevertheless, knowledge about the interrelation between the management and the pro- tective function of mountain forests is declining. In principle, the population is satisfied with the management of the most frequently visited forest. The felling of trees and closing of roads for logging are well accepted by the population. Leaving branches lying on the ground after logging is controversial, and is either well accepted or not accepted at all. Sustainability criteria have gained in importance when purchasing timber products. In terms of forest preferences, the population likes mixed forests best. The presence of a shrub layer is better liked than in WaMos2 (2010) and the liking of deadwood is also increasing at a low level. However, recreational infrastructure is valued less and less. For the first time, forest photos were also presented to the respondents for assessment. It turns out that already existing forest preferences, motives for visiting the forest, the importance of the forest in childhood and the language region have an influence on visual attractiveness of forest. Forest characteristics such as visibility range, shrub layer cover and cover of berry bushes, stage of stand development, stand structure and the presence of deadwood also have an influence. In order to get a picture of which forests people visit, they were asked to mark the forest they visit most often on a map using PPGIS. Local recreation dominates; the densest cloud of points is found where Switzerland is most densely populated. As always, most people go to the forest frequently. The most frequently cited motives for visiting the forest are “experiencing nature”, “enjoying fresh air” and “escaping from everyday life”. Adolescents go to the forest less often. Their activities in the forest are dominated by barbecues/bonfires/parties, jogging and sports in general. Satisfaction with forest visits has decreased at a high level compared to 2010. Forest attractiveness is rated lower, the visit to the forest is perceived as less restorative and the per- ceived disturbances are increasing. In sum, the Swiss population highly values the forest, as a recreational area, but also in particu- lar as a habitat for plants and animals. Ecological awareness seems to have risen again in the last 10 years, and with it concerns about the state of the forest and biodiversity. On the other hand, satisfaction with forest recreation – at a high level – has somewhat declined.
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Book chapters on the topic "Road infrastructure monitoring"

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Barrile, Vincenzo, Antonino Fotia, Ernesto Bernardo, Giuliana Bilotta, and Antonino Modafferi. "Road Infrastructure Monitoring: An Experimental Geomatic Integrated System." In Computational Science and Its Applications – ICCSA 2020, 634–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58811-3_46.

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Finogeev, Alexey, Anton Finogeev, and Sergey Shevchenko. "Monitoring of Road Transport Infrastructure for the Intelligent Environment «Smart Road»." In Communications in Computer and Information Science, 655–68. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65551-2_47.

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Fotia, Antonino, and Vincenzo Barrile. "Geomatics and Soft Computing Techniques for Road Infrastructure Monitoring." In Communications in Computer and Information Science, 313–24. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94426-1_23.

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Słomiany, Marcin, Piotr Gemza, Filip Jędrzejczyk, Mateusz Maciaś, and Jakub Główka. "System for Detection of Vehicles in Multiple Video Streams in Road Infrastructure Monitoring." In Advances in Intelligent Systems and Computing, 157–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40971-5_15.

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Sieńko, Rafał, Łukasz Bednarski, Tomasz Howiacki, and Katarzyna Zuziak. "Composite and Monolithic DFOS Sensors for Load Tests and Long-Term Structural Monitoring of Road Infrastructure." In Lecture Notes in Civil Engineering, 595–605. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07254-3_60.

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Pauwelyn, Ann-Sofie, and Sim Turf. "Smart Shipping on Inland Waterways." In Lecture Notes in Civil Engineering, 951–58. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_84.

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AbstractInland shipping has been struggling with a shortage of skippers for several years. This means, among other things, that smaller vessels disappear and the smaller waterways are no longer used. In addition, it is also difficult for inland shipping to compete with road transport. In time, this will cause a reverse modal shift: cargo will be brought back from the waterway to the road. However, the road is already dealing with a lot of congestion while the potential of the waterway is being used less and less. This will lead to major mobility problems.Over the years, an international consensus has grown that the automation of vessels can be a mean to solve a large part of the above problems and to revive transport via the waterways. In this way, the great pressure on our roads will also be reduced.In order to gain a better insight in the possibilities of Smart Shipping, the PIANC WG 210 was established in 2019. The PIANC INCOM WG 210 Report on Smart Shipping on Inland Waterways has been published in March 2022. This report researches the impact of Smart Shipping developments on the physical and digital infrastructure and on traffic management, with focus on inland waterways. Smart shipping developments were viewed from the perspective of infrastructure providers and traffic managers of inland waterways to stimulate and maximize the deployment of Smart Shipping.The report includes an analysis of the current (until 2019) Smart Shipping developments, what is currently lacking to stimulate Smart Shipping developments, as well as recommendations for the future that can be picked up in other PIANC working groups or research groups. This paper will highlight the findings of the WG and will zoom in on some more concrete examples of Smart Shipping in Belgium, where de Vlaamse Waterweg nv is monitoring a test area in which several 100s of test have taken place since 2019. Recent international legal initiatives will also be described.
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Ali, Murad. "Monitoring and Evaluation in South-South Cooperation: The Case of CPEC in Pakistan." In The Palgrave Handbook of Development Cooperation for Achieving the 2030 Agenda, 289–308. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57938-8_13.

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AbstractPakistan is a key country in China’s Belt and Road Initiative (BRI) where the China–Pakistan Economic Corridor (CPEC) is under implementation. An investment model of financing through loans, grants and private investments, CPEC is an example of South-South cooperation (SSC) having a number of benefits for both countries. Aimed at developing energy, industry, and communication infrastructure, the corridor initially valued at $46 billion but is now worth $62 billion. CPEC is expected to contribute significantly to socio-economic development and regional connectivity and trade. The main research question is, while implementing projects in Pakistan, to what extent China adheres to its avowed principles comprising features such as mutual respect, non-conditionality, equality, building local capacity and addressing actual needs of partner countries. Based mainly on the analysis of primary data collected during fieldwork in Pakistan, this research explores the extent to which the official narrative influences the actual practice of China’s development cooperation on the ground. To critically examine CPEC, this chapter uses a monitoring and evaluation framework developed by the Network of Southern Think Tanks (NeST), which is dedicated to generating systematic and clearly comparable knowledge on SSC (Besharati et al. 2017). The findings illustrate that, as per the five broad dimensions of the SSC framework, the China–Pakistan partnership under CPEC has performed well in the four areas of inclusive national ownership, horizontality, self-reliance and sustainability, and development effectiveness, but it has lagged in accountability and transparency.
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Gulisano, Federico, Thanyarat Buasiri, Andrzej Cwirzen, and Juan Gallego. "Monitoring Road Infrastructures with Self-sensing Asphalt Pavements." In Lecture Notes in Civil Engineering, 784–93. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07254-3_79.

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Katsamenis, Iason, Agapi Davradou, Eleni Eirini Karolou, Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Doulamis, and Dimitris Kalogeras. "Evaluating YOLO Transferability Limitation for Road Infrastructures Monitoring." In Novel & Intelligent Digital Systems: Proceedings of the 2nd International Conference (NiDS 2022), 349–58. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17601-2_34.

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Bianchini Ciampoli, L., V. Gagliardi, A. Benedetto, A. M. Alani, and F. Tosti. "InSAR analysis of C-band data for transport infrastructure monitoring." In Eleventh International Conference on the Bearing Capacity of Roads, Railways and Airfields, Volume 2, 301–10. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003222897-27.

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Conference papers on the topic "Road infrastructure monitoring"

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Kovačević, Meho Saša, Ken Gavin, Irina Stipanović Oslaković, and Lovorka Librić. "Monitoring of long term deformations in Bobova tunnel." In Fifth International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2018. http://dx.doi.org/10.5592/co/cetra.2018.844.

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Wilfling, Petra. "From manual inspection to permanent monitoring of turnouts." In Fifth International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2018. http://dx.doi.org/10.5592/co/cetra.2018.886.

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Fukai, Hidekazu, Fernão A. L. Nobre Mouzinho, Ryo Nagae, and Masayuki Uchida. "Development of automatic road width and pothole size estimation method from dashcam video for under developing countries." In 6th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2021. http://dx.doi.org/10.5592/co/cetra.2020.1146.

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Road condition monitoring usually requires extremely expensive special vehicles, equipment, or many human resources. On the other hand, with the development of ICT and data science technologies in recent years, there are several research trials in which the heavy technical tasks of road asset condition monitoring are replaced by automatic inspection systems consisting of common devices such as smartphones and dashcam videos. As the system consists of low-price devices, it also suitable for developing countries. However, there are many differences in the situation and the inspection items on road condition monitoring between advanced countries and developing countries. There are few trials to develop such a road condition monitoring system in developing countries. Our project is developing an integrated road condition monitoring system focusing on developing countries like Timor-Leste. In developing countries, many parts of the road are still unpaved, and the “road width” is an important item to be inspected. In this paper, we discuss the road width and pothole size estimation as a part of the integrated system we are developing. We survey the road width of both paved and unpaved roads. We use a common dashcam to take video along the road. The estimated values are integrated into a database with GPS information and visualized in Google Map, QGIS, or the original visualization system which we developed. To estimate the real width of the road and pothole size, we need to transform the captured forward view image of dashcam video into bird’s-eye-view. For the transformation, we need to estimate the vanishing point in a captured image. However, unlike the advanced countries, it is difficult to detect the vanishing point in developing countries because there are usually no straight lines in the images in the unpaved road of the province. In this study, we propose to use the optical flow method to detect the vanishing point in the rural road. To identify the area of road and the existence of potholes in images, we apply state-of-the-art semantic segmentation using deep learning.
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Krieger, Jürgen, and Ralph Holst. "Inspection Monitoring and Management of Federal Road Bridges." In IABSE Symposium, Weimar 2007: Improving Infrastructure Worldwide. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2007. http://dx.doi.org/10.2749/222137807796158318.

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Lenart, Stanislav, Veljko Janjić, Uroš Jovanović, and Rok Vezočnik. "Real-time monitoring and analyses of sensory data integrated into the BIM platform." In 6th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2021. http://dx.doi.org/10.5592/co/cetra.2020.1174.

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Bridges and tunnels, crucial elements of the railway infrastructure, are exposed to various types of deterioration processes. Their condition is a subject of monitoring, as it is important to collect as much as possible information in every life cycle phase to reliably predict their future performance. An enormous quantity of monitoring data is generated during the whole life cycle of these assets. EU funded Shift2Rail research project Assets4Rail which is focusing on measuring, monitoring, and data handling for railway assets, as data management is as important as their generation. This paper presents the major outcomes of the Assets4Rail project and its application to infrastructure projects.
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Majstorović, Igor, Maja Ahac, and Stjepan Lakušić. "Track gauge monitoring scope optimization on small urban railway systems." In 6th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2021. http://dx.doi.org/10.5592/co/cetra.2020.1207.

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Urban transport plays a key role in the sustainable development of large cities. Urban railway systems, as eco-friendly mass transport systems, are becoming the basis of urban traffic development. Maintaining a high-quality service with continuously increasing traffic demand places an additional burden on public transport operators. Track geometry control has a major impact on availability and maintenance costs of public transport. Good management of rail infrastructure involves continuous monitoring of track geometry (track gauge, cant, twist, horizontal and vertical irregularities) where surveying should be done up to several times a year. Measuring of track geometry in chosen track cross-sections can be done automatically with relatively expensive equipment, or manually which is cheaper but takes longer. Therefore, the question arose as to whether it is possible on small urban railway networks to reduce monitoring scope by increasing of sampling distance, and if so, what should be recommended sampling distance. This paper presents, on the example of the City of Osijek tramway system, how changes in sampling distance effects on track gauge parameter. The results of the conducted analyses are presented and discussed. The recommendations on track gauge monitoring scope optimization on small urban networks are made.
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Džambas, Tamara, Vesna Dragčević, and Jure Čuljak. "Monitoring of traffic noise on urban road intersection - Case Study." In Fifth International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2018. http://dx.doi.org/10.5592/co/cetra.2018.847.

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Tayfur, Sena, Emre Ercan, Kentaro Ohno, and Ninel Alver. "Acoustic emission for monitoring of strengthened RC beam-column joints." In Fifth International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2018. http://dx.doi.org/10.5592/co/cetra.2018.892.

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Flammini, Francesco, Concetta Pragliola, and Giovanni Smarra. "Railway infrastructure monitoring by drones." In 2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC). IEEE, 2016. http://dx.doi.org/10.1109/esars-itec.2016.7841398.

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Braunfelds, J., U. Senkans, P. Skels, I. Murans, J. Porins, S. Spolitis, and V. Bobrovs. "Fiber Bragg Grating Optical Sensors for Road Infrastructure Monitoring Applications." In Applied Industrial Optics: Spectroscopy, Imaging and Metrology. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/aio.2022.w1a.2.

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Application of fiber Bragg grating (FBG) optical sensors for road infrastructure allows to use the measured data for transport traffic monitoring, structural health monitoring applications, architecture’s structural integrity estimation and temperature monitoring.
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Reports on the topic "Road infrastructure monitoring"

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Fowler, Camilla. Automation in transport - Leading the UK to a driverless future. TRL, July 2021. http://dx.doi.org/10.58446/tawj9464.

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The gap between technology development and automated vehicle deployment has been underestimated and the challenges involved with delivering autonomy have been far greater and more complex than first envisaged. TRL believe that in order for the UK to achieve its potential for automation in transport, the following activities are key in overcoming these challenges: Develop a UK regulatory approval system that enables the safe and secure deployment of automated vehicles in the future. A flexible and responsive regulatory system is needed that can enable innovation by streamlining entry into emerging markets and lessen the initial regulatory burden on developers and manufacturers. Provide a simple, consistent but robust approach to assuring safety during trials and testing to enable and facilitate trials across all UK locations and environments. The approach to safety assurance varies between stakeholders and this inconsistency can provide a barrier to testing in multiple locations or avoiding areas with more stringent requirements. TRL is developing a software tool that could be used to guide and support stakeholders when engaging with trialling organisations. Develop and implement a UK safety monitoring and investigation unit to monitor safety, analyse data, investigate incidents and provide timely feedback and recommended actions. TRL can identify road user behaviours that are likely to lead to a collision. These behaviours could be monitored using in-vehicle data and supplemented with environmental and location data from intelligent infrastructure. This proactive approach would drive safety improvements, promote continuous improvement, accelerate innovation and development and make Vision Zero a more realistic and achievable target. Enable more advanced trials to be undertaken in the UK where the boundaries of the technology are extended and solutions to the identified challenges are explored without compromising safety. London’s Smart Mobility Living Lab (SMLL) provides a unique real-world test facility to conduct advanced tests and validate vehicle behaviour performance. Through testing in a real-world environment and monitoring performance using cooperative infrastructure, we can accelerate learning and technology progression. Accelerate the adoption and safe implementation of automated vehicles for off- highway activities and minimise worker exposure to high risk environments and working practices within the UK and globally. As part of an Innovate funded project on Automated Off-highway Vehicles, TRL has developed and published a draft Code of Practice providing guidance to operators of automated vehicles in all sectors of the off-highway industry.
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Li, Howell, Enrique Saldivar-Carranza, Jijo K. Mathew, Woosung Kim, Jairaj Desai, Timothy Wells, and Darcy M. Bullock. Extraction of Vehicle CAN Bus Data for Roadway Condition Monitoring. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317212.

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Obtaining timely information across the state roadway network is important for monitoring the condition of the roads and operating characteristics of traffic. One of the most significant challenges in winter roadway maintenance is identifying emerging or deteriorating conditions before significant crashes occur. For instance, almost all modern vehicles have accelerometers, anti-lock brake (ABS) and traction control systems. This data can be read from the Controller Area Network (CAN) of the vehicle, and combined with GPS coordinates and cellular connectivity, can provide valuable on-the-ground sampling of vehicle dynamics at the onset of a storm. We are rapidly entering an era where this vehicle data can provide an agency with opportunities to more effectively manage their systems than traditional procedures that rely on fixed infrastructure sensors and telephone reports. This data could also reduce the density of roadway weather information systems (RWIS), similar to how probe vehicle data has reduced the need for micro loop or side fire sensors for collecting traffic speeds.
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Hunter, Margaret, Jijo K. Mathew, Ed Cox, Matthew Blackwell, and Darcy M. Bullock. Estimation of Connected Vehicle Penetration Rate on Indiana Roadways. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317343.

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Over 400 billion passenger vehicle trajectory waypoints are collected each month in the United States. This data creates many new opportunities for agencies to assess operational characteristics of roadways for more agile management of resources. This study compared traffic counts obtained from 24 Indiana Department of Transportation traffic counts stations with counts derived by the vehicle trajectories during the same periods. These stations were geographically distributed throughout Indiana with 13 locations on interstates and 11 locations on state or US roads. A Wednesday and a Saturday in January, August, and September 2020 are analyzed. The results show that the analyzed interstates had an average penetration of 4.3% with a standard deviation of 1.0. The non-interstate roads had an average penetration of 5.0% with a standard deviation of 1.36. These penetration levels suggest that connected vehicle data can provide a valuable data source for developing scalable roadway performance measures. Since all agencies currently have a highway monitoring system using fixed infrastructure, this paper concludes by recommending agencies integrate a connected vehicle penetration monitoring program into their traditional highway count station program to monitor the growing penetration of connected cars and trucks.
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Habert, Guillaume, and Francesco Pittau. Joint synthesis “Sustainable Concrete Structures” of the NRP “Energy”. Swiss National Science Foundation (SNSF), February 2020. http://dx.doi.org/10.46446/publication_nrp70_nrp71.2020.5.en.

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All structures in Switzerland - that is, all buildings, roads, infrastructure constructions and so on - consume over their entire life cycle around 50 % of Switzerland's final energy requirement. They are also responsible for around 30 % of emissions of the greenhouse gas CO2. In recent decades, the energy requirements and CO2 emissions resulting from the use of such structures have fallen sharply. However, the grey energy contained within the structures as well as the CO2 emissions associated with the construction, renovation and demolition of buildings, remain high. There is great potential for improvement here. The joint project “Low energy concrete” provides an important basis for transforming the construction industry into a sustainable sector. It primarily focuses on the building material concrete, which is responsible for an especially high amount of grey energy and significant CO2 emissions. The results of this joint project are summarised and interpreted in this synthesis on “Sustainable Concrete Structures”. The chief objectives of the joint project were as follows: CO2 emissions and grey energy are reduced by drastically decreasing the amount of clinker in the cement. Grey energy is reduced by replacing reinforcing and prestressing steel in concrete structures with wood and plastic. The service life of the structures is extended by professional monitoring and adequate renovation measures; this reduces the average annual grey energy and CO2 emissions. The research work shows that the CO2 emissions caused by concrete and concrete structures can be reduced by a factor of 4, while the bound grey energy can be decreased by a factor of 3.
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