Method of Assessment and Prediction of Temperature Conditions of Roadway Surfacing as a Factor of the Road Safety

Lazarev, Yuriy; Medres, Catherine; Räty, Juha; Bondarenko, A. G.

doi:10.1016/j.trpro.2017.01.064

Cited by 23 publications

(14 citation statements)

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“…where с is the elastic base stiffness coefficient (modulus of subgrade reaction); в is the MRRP slab width, m; Е is the slab elasticity modulus, MPa; J is the moment of inertia in the slab longitudinal section, m 4 . When performing calculations, it is necessary to select the design load that characterizes the traffic composition.…”

Section: Resultsmentioning

confidence: 99%

“…Hinge joints are easier and more convenient for installation and removal. However, on weak bases, subsidence of the coating at joints during movement of vehicles is great [3][4][5]. Rigid joints ensure transmitting of normal and shear forces, as well as bending moments, but require highstrength materials and complicate assembly of the coating.…”

Section: Introductionmentioning

confidence: 99%

“…The lack of work efficiency during installation and removal. 4. Low technological effectiveness of assembly and disassembly due to a large number of small parts, difficulty of matching fork holes to the dowel bar, difficulty of disconnecting after use.…”

Section: Introductionmentioning

confidence: 99%

“…Based on the analysis of design experience [3,4,6] and use of modular removable pavements, and taking into account their installation conditions and methods, it is advisable to install such joint devices on the plates that would allow both semi-rigid and hinge connection in the longitudinal direction.…”

Section: Introductionmentioning

confidence: 99%

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Joint devices for modular removable road pavement slabs made of polymer materials for agribusiness

et al. 2020

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The article deals with the design of joint devices for a modular removable road pavement plate (slab) made of polymer materials for use in agriculture. The design of joint devices allows the use of road slabs in heavy traffic under adverse soil and hydrological conditions, with repeated assembly and disassembly. The proposed designs are simple to manufacture and ensure installation and removal of road slabs made of polymer materials within a short time.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Joint devices for modular removable road pavement slabs made of polymer materials for agribusiness

et al. 2020

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“…Most studies use crash rates as the main input data for determining risk levels. An interesting algorithm is proposed in a paper 38 based on SVM algorithm and image segmentation processing technology, where the authors propose a method of video image processing technology for road surface state recognition (e.g., if the surface is wet or dry, or if there is snow, or ice on the road). However, there is a lack of investigation into risk prediction.…”

Section: Related Researchmentioning

confidence: 99%

Risk prediction algorithm based on image texture extraction using mobile vehicle road scanning system as support for autonomous driving

Slavković

Bjelica

2019

J. Electron. Imag.

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We present an algorithm for risk prediction of road surface grip where skidding and sliding occur as main road surface problems. Prediction is done by defining a fine texture classification of the properties of road aggregate. In an experimental setup, data acquisition is performed with a supervised mobile vehicle scanning system, using a vehicle equipped with a camera and temperature sensor during movement along an arterial road. Image processing is performed by testing four texture feature extraction methods: Gabor filters, wavelet transform, gray level co-occurence matrix, and edge histogram descriptor, among which the Gabor transform shows the best results. The extraction of texture feature vectors follows by statistical algorithms for measuring feature vector similarity and reference vector selection, leading to image texture classification. The algorithm itself is upgraded by incorporating simultaneous surface temperature measurements in order to create and validate the final fine surface texture classification. The roads are classified and segmented into high-, medium-, and low-risk roads according to skid danger, enabling the creation of a map of high-risk zones. We validate our risk prediction algorithm by referring to crash rate data from the Road Traffic Safety Agency of Serbia database. This algorithm enables the location and mapping of high-risk zones and can be used as a support for autonomous driving and navigation.

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An Analytical Method for Calculating the Bearing Capacity of a Pile-Screw Anchor Increased Horizontal Stability

Ozornin¹,

Vukolov²,

Alekseev

et al. 2021

Lecture Notes in Civil Engineering

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Method of Assessment and Prediction of Temperature Conditions of Roadway Surfacing as a Factor of the Road Safety

Cited by 23 publications

References 0 publications

Joint devices for modular removable road pavement slabs made of polymer materials for agribusiness

Joint devices for modular removable road pavement slabs made of polymer materials for agribusiness

Risk prediction algorithm based on image texture extraction using mobile vehicle road scanning system as support for autonomous driving

An Analytical Method for Calculating the Bearing Capacity of a Pile-Screw Anchor Increased Horizontal Stability

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