Development of a road asset management system in Kazakhstan

Bonin, Guido; Polizzotti, S.; Loprencipe, Giuseppe; Folino, N.; Rossi, C. Oliviero; Teltayev, Bagdat

doi:10.1201/9781315281896-70

Cited by 19 publications

(13 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A correct and timely identification of the road pavements conditions and performances is fundamental in order to allow road agencies to draw up an appropriate maintenance plan, according to their financial resources and to road user performance requirements [29][30][31][32].…”

Section: Conclusion and Future Developmentsmentioning

confidence: 99%

Effects of Vehicular Speed on the Assessment of Pavement Road Roughness

2019

View full text Add to dashboard Cite

Good ride quality is a fundamental requirement for all road networks in modern countries. For this purpose, it is essential to monitor and evaluate the effect of irregularities on road pavement surfaces. In the last few decades, many roughness indices have been proposed, with the aim to represent shortly the pavement surface characteristics and the relative performances, using a single number and a correspondent scale of values. In this work, a comparison between three different evaluation methods (International Roughness Index, ISO 8608 road profile classification and frequency-weighted vertical acceleration awz according to ISO 2631) was carried out, applying these methods to some real road profiles. The similarities and differences between the obtained results are described, evaluating the effect of the road characteristic speed on the roughness thresholds. In fact, the specific aim of the analyses is to underline the need to use different thresholds depending on the speed at which the vehicular traffic can travel on the road sections. In this way, it will be possible to identify appropriate thresholds for the various types of roads, having for each of them a specific range of design or operating speed.

show abstract

Section: Conclusion and Future Developmentsmentioning

confidence: 99%

Effects of Vehicular Speed on the Assessment of Pavement Road Roughness

2019

View full text Add to dashboard Cite

show abstract

“…Different types of cracks can be observed due to different causes: road surface aging, climate, and traffic load. The methods currently used for road and airport pavement management system (PMS) [1,2] generally used for the classification of cracks provided by Shahin [3] and adopted by the international standard American Society for Testing and Materials ( ASTM ) [4]. The classification is defined on crack characteristic and causes as listed in Table 1 and Figure 1.…”

Section: Motivationmentioning

confidence: 99%

Automatic Crack Detection on Road Pavements Using Encoder-Decoder Architecture

Fan

Chen

et al. 2020

Materials

View full text Add to dashboard Cite

Automatic crack detection from images is an important task that is adopted to ensure road safety and durability for Portland cement concrete (PCC) and asphalt concrete (AC) pavement. Pavement failure depends on a number of causes including water intrusion, stress from heavy loads, and all the climate effects. Generally, cracks are the first distress that arises on road surfaces and proper monitoring and maintenance to prevent cracks from spreading or forming is important. Conventional algorithms to identify cracks on road pavements are extremely time-consuming and high cost. Many cracks show complicated topological structures, oil stains, poor continuity, and low contrast, which are difficult for defining crack features. Therefore, the automated crack detection algorithm is a key tool to improve the results. Inspired by the development of deep learning in computer vision and object detection, the proposed algorithm considers an encoder-decoder architecture with hierarchical feature learning and dilated convolution, named U-Hierarchical Dilated Network (U-HDN), to perform crack detection in an end-to-end method. Crack characteristics with multiple context information are automatically able to learn and perform end-to-end crack detection. Then, a multi-dilation module embedded in an encoder-decoder architecture is proposed. The crack features of multiple context sizes can be integrated into the multi-dilation module by dilation convolution with different dilatation rates, which can obtain much more cracks information. Finally, the hierarchical feature learning module is designed to obtain a multi-scale features from the high to low- level convolutional layers, which are integrated to predict pixel-wise crack detection. Some experiments on public crack databases using 118 images were performed and the results were compared with those obtained with other methods on the same images. The results show that the proposed U-HDN method achieves high performance because it can extract and fuse different context sizes and different levels of feature maps than other algorithms.

show abstract

“…The Kazakhstan section of the WE-WC transport corridor, from Khorgos (East Kazakhstani-Chinese border) to the border point of Zhaisan (Russian-North West Kazakhstani border), entailed the rehabilitation of 2452 km of the road [50]. According to the project, the Kazakhstani section of the WE-WC corridor passes through the territory of the Aktobe (590.64 km), Kyzylorda (810 km), Turkestan (294 km), Jambyl (427 km), and Almaty regions (460 km) of Kazakhstan, and the cities of Almaty and Shymkent, that are regionally important [51].…”

Section: We-wc Projectmentioning

confidence: 99%

The Evolution of the Kazakhstani Silk Road Section from a Transport into a Logistics Corridor and the Economic Sustainability of Regional Development in Central Asia

2020

View full text Add to dashboard Cite

Central Asian countries attract investment in transport infrastructure to rebuild the Silk Road paths and enjoy economic benefits from the participation in international trade. The Kazakhstani government approached the Russian and Chinese governments intending to join the Western Europe–Western China (WE–WC) initiative to boost the country’s regional development. The paper aims to assess how the WE–WC transport corridor affected the economic potential of linking cities and regions starting from the quality of transport infrastructure and leading to their export potential. The study’s findings showed that the Kazakhstan section of the WE–WC corridor was at an early stage of transformation from a transport into an economic corridor. While the Russia-Uzbekistan section continues to serve mainly a transit function and operate at the level of transport infrastructure, the China-Kyrgyzstan section has started evolving from the level of multimode transport corridor to the level of logistics corridor. The economic sustainability of the WE–WC linking mining and agricultural regions of Kazakhstan still comes into question and depends on the government’s further region-specific policy actions.

show abstract

Development of a road asset management system in Kazakhstan

Cited by 19 publications

References 1 publication

Effects of Vehicular Speed on the Assessment of Pavement Road Roughness

Effects of Vehicular Speed on the Assessment of Pavement Road Roughness

Automatic Crack Detection on Road Pavements Using Encoder-Decoder Architecture

The Evolution of the Kazakhstani Silk Road Section from a Transport into a Logistics Corridor and the Economic Sustainability of Regional Development in Central Asia

Contact Info

Product

Resources

About