Big Data Application for Urban Transport Solutions

Růžička, Jiří; Tichý, Tomáš; Hajčiarová, Eva

doi:10.1109/scsp54748.2022.9792538

Cited by 12 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These are, for example: unsafe maneuvers; inappropriate selection of tunnel exit due to lack of visibility and clarity of the situation with impacts on traffic outside the tunnel; creation of redundant traffic in cities; increase in congestion; lengthening of journeys, thus also environmental impacts; noise; etc. This could also be used for the optimization of not only FCD data in tunnels, which could be improved for tunnel traffic and then further analyzed as Big Data and its application, as presented in [24], but also the data enabling crisis management for the traffic control [25] of surface transport infrastructure as well as that lying under it, i.e., in tunnels. Furthermore, navigation could be applicable for cargo securing and its economic…”

Section: Discussionmentioning

confidence: 99%

Proximity Approach to Bluetooth Low Energy-Based Localization in Tunnels

et al. 2023

View full text Add to dashboard Cite

Smart cities and smart mobility necessitate the development of newly adapted approaches and applications that ensure data connection among their particular parts; thus, the complex systems of smart technologies can be applied. Especially in the field of transport, mobility, and smart solutions, many of these applications require precise localization. Global navigation satellite system (GNSS) localization is used mainly because of its availability, reliability, and sufficient precision. However, there are also blind spots in smart cities where the GNSS is not available, e.g., in tunnels. This article presents an approach to fixing the issue of localization in road tunnels based on telecommunications with Bluetooth low energy (BLE) based infrastructure equipment. This approach enables us to ensure sufficient data resources for localization, and thus, smart applications can also be applied in the tunnels. At the same time, this approach also allows the fulfillment of individual needs according to the specifications of each tunnel or smart application. The outputs from testing and measurements are presented and discussed.

show abstract

Section: Discussionmentioning

confidence: 99%

Proximity Approach to Bluetooth Low Energy-Based Localization in Tunnels

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The economic consequences of disparities in the design and implementation of technical projects often balance on the edge of economically viable benefits (examples are large investment projects; nuclear power plants are undoubtedly among them) [22,23]. The efforts aimed at sustainable development in this regard are reflected in the resonant concept of the circular economy [24][25][26][27][28][29]. The International Atomic Energy Agency and the PRIS are dedicated to the issues of exceeding deadlines and costs.…”

Section: Methodsmentioning

confidence: 99%

Time and Cost Schedule Dynamic–Hidden Trojan Horses

et al. 2022

View full text Add to dashboard Cite

Investment projects are not the only ones where significant complications in their implementation may occur. The fundamental question, how to specify threats hidden in time series, is one of the most important types of knowledge arising from the basic schedules’ documentation. Feasibility studies, project proposals, organizational and production procedures, research projects, and others are major resources of information. The reason why to specify threats hidden in time series is the high cost of not revealing hidden threats. An illustrative clarification of the cost is given on the current data of nuclear power plants. Wherever one works with schedules and resources, the above-mentioned issue may appear. Undeniably, valid data is discoverable ex post in accounting, documentation, or even in the documentation of the preparation and implementation, and in the analyzes of the mechanisms for non-compliance with deadlines and cost increases. For implementation (i.e., ex ante use), the majority of projects are created by expert intuitive decision-making. In terms of content, these are sources of errors from the past, lacking analytical quantitative support (suffering from the so-called evidence shortage). Production schedule time series comprise: (a) cumulative volume, (b) speeds, and (c) accelerations. More recent, in addition to statistical analysis, is the focus on the long-term memory of time series and to the application of the Hurst exponent as indicators of predictability (ex-ante). This article offers a procedure for how to reveal hidden chaotic states in the time series of a project’s output information. If it is possible to find chaotic behavior in the output information, these states must be searched for and removed in the original source model—the implementation project. Exceeding contractual terms and implementation costs leads to a threat to the economic basis—the collapse of the initial idea of the project’s economy. As an example, nuclear power plant projects are shown. The article broadens the perspective of ex ante decision-making.

show abstract

“…The resulting CSVs were reduced by the QGIS program before importing them into the database, so that all surfaces with a lower permeability index were used, leaving out grassy surfaces, fields, etc. Through this process, the reduction of the grid from 3.6 million points to less than 90 thousand was achieved, which resulted in extreme memory saving and high performance of the used computer devices [45,54,62]. The resulting interpolation of the entire area is shown in Figure 4.…”

Section: Rainwater Information Managementmentioning

confidence: 99%

A Tool for Identifying Suitable Places for the Placement of Blue-Green Infrastructure Elements, a Case Study on the Cities of the Moravian-Silesian Region, Czech Republic

Teichmann,

Szeligova,

Faltejsek

et al. 2024

Water

View full text Add to dashboard Cite

The aim of this contribution is to present the R-WIM (Rainwater Information Management) tool, which was created based on an extensive database of territory parameters, weather, surface runoff, etc., and in accordance with the requirements of municipalities. This tool was created especially for the purpose of identifying places where it is appropriate to implement elements of blue-green infrastructure. This tool was created on the basis of the smart urbido s.r.o. software 2.0, which allows working with a wide range of graphic and non-graphic information so that it is possible to link them together functionally and computationally, and to model the necessary spatial phenomena within the environment of selected cities of the Moravian-Silesian Region of the Czech Republic.

show abstract

Big Data Application for Urban Transport Solutions

Cited by 12 publications

References 19 publications

Proximity Approach to Bluetooth Low Energy-Based Localization in Tunnels

Proximity Approach to Bluetooth Low Energy-Based Localization in Tunnels

Time and Cost Schedule Dynamic–Hidden Trojan Horses

A Tool for Identifying Suitable Places for the Placement of Blue-Green Infrastructure Elements, a Case Study on the Cities of the Moravian-Silesian Region, Czech Republic

Contact Info

Product

Resources

About