<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">mgssuvest</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник МГСУ</journal-title><trans-title-group xml:lang="en"><trans-title>Vestnik MGSU</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1997-0935</issn><issn pub-type="epub">2304-6600</issn><publisher><publisher-name>Moscow State University of Civil Engineering (National Research University) (MGSU)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.22227/1997-0935.2024.1.115-127</article-id><article-id custom-type="elpub" pub-id-type="custom">mgssuvest-166</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Технология и организация строительства. Экономика и управление в строительстве</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Technology and organization of construction. Economics and management in construction</subject></subj-group></article-categories><title-group><article-title>Моделирование управляющих воздействий на эксплуатационной стадии жизненного цикла автомобильных дорог</article-title><trans-title-group xml:lang="en"><trans-title>Modelling of control actions at the operational stage of the life cycle of roads</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5912-1235</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Тиратурян</surname><given-names>А. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Tiraturyan</surname><given-names>A. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Артем Николаевич Тиратурян — доктор технических наук, доцент, профессор кафедры автомобильных дорог</p><p>344000 г. Ростов-на-Дону, пл. Гагарина, д. 1</p><p>РИНЦ ID: 803524, Scopus: 57190178833, ResearcherID: Q-2390-2017</p></bio><bio xml:lang="en"><p>Artem N. Tiraturyan — Doctor of Technical Sciences, Associate Professor, Professor of the Department of Automobile Roads</p><p>1 Gagarin square, 344000, Rostov-on-Don</p><p>ID RSCI: 803524, Scopus: 57190178833, ResearcherID: Q-2390-2017</p></bio><email xlink:type="simple">tiraturjan@list.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Донской государственный технический университет (ДГТУ)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Don State Technical University (DSTU)</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>31</day><month>01</month><year>2024</year></pub-date><volume>19</volume><issue>1</issue><fpage>115</fpage><lpage>127</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Тиратурян А.Н., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Тиратурян А.Н.</copyright-holder><copyright-holder xml:lang="en">Tiraturyan A.N.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.vestnikmgsu.ru/jour/article/view/166">https://www.vestnikmgsu.ru/jour/article/view/166</self-uri><abstract><sec><title>Введение</title><p>Введение. Одной из сложных проблем управления дорожными активами является отсутствие единых интегральных показателей их состояния, учитывающих одновременно изменение продольной ровности покрытия, визуального состояния и общего модуля упругости на эксплуатационной стадии жизненного цикла (ЖЦ) автомобильной дороги. Их отсутствие приводит к невозможности эффективного моделирования различных сценариев изменения эксплуатационного состояния дороги при осуществлении управляющих воздействий в виде работ по содержанию, ремонту капитальному ремонту. Цель исследования — выработка данного критерия и формулирование основ для моделирования различных сценариев применения управляющих воздействий на эксплуатационной стадии ЖЦ.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. В качестве основного показателя состояния автомобильной дороги на эксплуатационной стадии ЖЦ используется интегральный уровень сохранности, представляющий собой произведение долей участка автомобильной дороги, находящихся в удовлетворительном состоянии, по показателям — общий модуль упругости на поверхности дорожной одежды, продольная ровность и визуальное состояние. Для обоснования применимости данного показателя и развития методики моделирования управляющих воздействий используется аппарат теории надежности и математической статистики.</p></sec><sec><title>Результаты</title><p>Результаты. На основе зависимостей, характеризующих изменение каждого из показателей в течение срока службы с учетом предположения о нормальном характере их распределения, получена проектная кривая изменения интегрального уровня сохранности для автомобильных дорог с интенсивным движением. Рассмотрены различные сценарии назначения управляющих воздействий и показано их влияние на величину интегрального уровня сохранности автомобильной дороги.</p></sec><sec><title>Выводы</title><p>Выводы. Установлено, что для ряда случаев восстановление потребительских свойств автомобильной дороги без восстановления несущей способности не обеспечит продление срока службы. Выполнено моделирование различных сценариев назначения управляющих воздействий в виде работ по содержанию, ремонту и капитальному ремонту. Определены перспективы применения предложенного подхода, связанные с использованием аппарата теории эффективности технических систем.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Introduction</title><p>Introduction. One of the complex problems of road asset management is the lack of unified “integral” indicators of their condition, which simultaneously take into account the change in the longitudinal smoothness of the road surface, visual condition, and the general modulus of elasticity at the operational stage of the road life cycle. Their absence leads to the impossibility of effective modelling of various scenarios of changes in the operational condition of the road when various kinds of control actions in the form of maintenance, repair and overhaul are carried out. The purpose of this study is to develop this criterion and formulate the basis for modelling various scenarios for the application of control actions at the operational stage of the life cycle.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. As the main indicator of the road condition at the operational stage of the life cycle, it is proposed to use the integral level of safety, which is the product of the shares of the road section that are in satisfactory condition according to the indicators — the general modulus of elasticity on the surface of the pavement, longitudinal smoothness and visual condition. To substantiate the applicability of this indicator and develop a methodology for modelling control actions, the apparatus of the theory of reliability and mathematical statistics is used.</p></sec><sec><title>Results</title><p>Results. Based on the dependencies characterizing the change in each of these indicators during the service life, taking into account the assumption of the normal nature of their distribution, the design curve of change of the integral level of safety for highways with heavy traffic (&gt; 5,000,000 applications of the design load for the service life) was obtained. Various scenarios for assigning control actions are considered and their influence on the value of the integral level of road safety is shown. It is shown that for a number of cases, the restoration of the consumer properties of the road without the restoration of the bearing capacity will not provide an extension of the service life. Modelling of various scenarios for the assignment of control actions in the form of maintenance, repair and overhaul work was carried out based on the indicator — the integral level of safety.</p></sec><sec><title>Conclusions</title><p>Conclusions. It is shown that for a number of cases the restoration of the consumer properties of the road without the restoration of the bearing capacity will not provide service life extension. Modelling of various scenarios for the assignment of control actions in the form of maintenance, repair and overhaul has been carried out. The prospects of application of the given approach connected with the use of the apparatus of the theory of efficiency of technical systems are determined.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>автомобильные дороги</kwd><kwd>эксплуатационная стадия жизненного цикла</kwd><kwd>уровень сохранности</kwd><kwd>управляющие воздействия</kwd><kwd>сценарии</kwd><kwd>эксплуатационные параметры</kwd><kwd>стратегии ремонтных работ</kwd></kwd-group><kwd-group xml:lang="en"><kwd>highways</kwd><kwd>operational stage of the life cycle</kwd><kwd>level of safety</kwd><kwd>control actions</kwd><kwd>scenarios</kwd><kwd>operational parameters</kwd><kwd>repair strategies.</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Исследования проводятся в рамках гранта Президента Российской Федерации для государственной поддержки молодых российских ученых — кандидатов наук (заявка МК-242.2022.4). Автор выражает благодарность рецензентам за время и силы, потраченные на рассмотрение данной статьи.</funding-statement><funding-statement xml:lang="en">The research is carried out within the framework of the grant of the President of the Russian Federation for state support of young Russian scientists — candidates of science (application MK-242.2022.4). The author also expresses his sincere gratitude to the respected reviewers for the time and effort spent on the review of this article.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Леонович И.И., Новгородский Я.Я., Буртыль Ю.В. Транспортно-эксплуатационное состояние сети республиканских автомобильных дорог и основные направления повышения их качества // Вестник Белорусского национального технического университета. 2008. № 6. С. 56–63. EDN VVALSN.</mixed-citation><mixed-citation xml:lang="en">Leonovich I.I., Novgorodsky Ya.Ya., Burtyl Yu.V. Transport and operational status of the network of republican highways and the main directions for improving their quality. Bulletin of the Belarusian National Technical University. 2008; 6:56-63. EDN VVALSN. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Красиков О.А. Оптимальные значения // Автомобильные дороги. 2021. № 9 (1078). С. 134–137. EDN ZZMBRJ.</mixed-citation><mixed-citation xml:lang="en">Krasikov O.A. Optimal values. Automobile Roads. 2021; 9(1078):134-137. EDN ZZMBRJ. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Кириллов А.М., Завьялов М.А. Прогнозирование остаточного срока службы асфальтобетонных покрытий // Вестник МГСУ. 2018. Т. 13. № 3 (114). С. 356–367. DOI: 10.22227/1997-0935.2018.3.356-367</mixed-citation><mixed-citation xml:lang="en">Kirillov A.M., Zavyalov M.A. Prediction of remaining service life of asphalt-concrete pavements. Vestnik MGSU [Proceedings of the Moscow State University of Civil Engineering]. 2018; 13(3):356-367. DOI: 10.22227/1997-0935.2018.3.356-367. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Elhadidy A.A., El-Badawy S.M., Elbeltagi E.E. A simplified pavement condition index regression model for pavement evaluation // International Journal of Pavement Engineering. 2021. Vol. 22. Issue 5. Pp. 643–652. DOI: 10.1080/10298436.2019.1633579</mixed-citation><mixed-citation xml:lang="en">Elhadidy A.A., El-Badawy S.M., Elbeltagi E.E. A simplified pavement condition index regression model for pavement evaluation. International Journal of Pavement Engineering. 2021; 22(5):643-652. DOI: 10.1080/10298436.2019.1633579</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Fakhri M., Dezfoulian R.S. Pavement structural evaluation based on roughness and surface distress survey using neural network model // Construction and Building Materials. 2019. Vol. 204. Pp. 768–780. DOI: 10.1016/j.conbuildmat.2019.01.142</mixed-citation><mixed-citation xml:lang="en">Fakhri M., Dezfoulian R.S. Pavement structural evaluation based on roughness and surface distress survey using neural network model. Construction and Building Materials. 2019; 204:768-780. DOI: 10.1016/j.conbuildmat.2019.01.142</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Васильев А.П. Целевые показатели оценки результативности модернизации, ремонта и содержания автомобильных дорог // Наука и техника в дорожной отрасли. 2005. № 1 (32). С. 5–8. EDN OIJYPF.</mixed-citation><mixed-citation xml:lang="en">Vasiliev A.P. Target indicators for evaluating the effectiveness of modernization, repair and maintenance of highways. Science and Technology in the Road Industry. 2005; 1:5-8. EDN OIJYPF. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Васильев А.П., Ефименко В.Н. К обоснованию протяжения автомобильных дорог, подлежащих реконструкции, модернизации, капитальному ремонту и ремонту, в субъектах федерации // Вестник Томского государственного архитектурно-строительного университета. 2014. № 6 (47). С. 157–167. EDN TBZNID.</mixed-citation><mixed-citation xml:lang="en">Vasil’ev A.P., Efimenko V.N. Roadway reconstruction, modernization, and replacement in sub-sovereign entities. Journal of Construction and Architecture. 2014; 6(47):157-167. EDN TBZNID. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Углова Е.В., Саенко С.С. Обзор инструментов управления состоянием дорожных конструкций // Транспортные сооружения. 2016. Т. 3. № 1. С. 6. EDN WKTSFF.</mixed-citation><mixed-citation xml:lang="en">Uglova E.V., Saenko S.S. Review of tools for the road structure state management. Russian Journal of Transport Engineering. 2016; 3(1):6-18. EDN WKTSFF. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Тиратурян А.Н., Белоусов Е.С., Шаталов В.Ю. Имитационное моделирование ухудшения эксплуатационного состояния нежестких дорожных конструкций на основе вероятностного подхода // Инженерный вестник Дона. 2016. № 3 (42). С. 65. EDN YGSTBV.</mixed-citation><mixed-citation xml:lang="en">Tiraturyan A.N., Belousov Y.S., Shatalov V.Y. Simulation of the design activity diversification of innovative enterprise. Engineering Bulletin of the Don. 2016; 3(42):65. EDN YGSTBV. (rus.).</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Jiang X., Gabrielson J., Huang B., Bai Y., Polaczyk P., Zhang M. et al. Evaluation of inverted pavement by structural condition indicators from falling weight deflectometer // Construction and Building Materials. 2022. Vol. 319. Pp. 125991. DOI: 10.1016/j.conbuildmat.2021.125991</mixed-citation><mixed-citation xml:lang="en">Jiang X., Gabrielson J., Huang B., Bai Y., Polaczyk P., Zhang M. et al. Evaluation of inverted pavement by structural condition indicators from falling weight deflectometer. Construction and Building Materials. 2022; 319:125991. DOI: 10.1016/j.conbuildmat.2021.125991</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Rabbi M.F., Mishra D. Using FWD deflection basin parameters for network-level assessment of flexible pavements // International Journal of Pavement Engineering. 2021. Vol. 22. Issue 2. Pp. 147–161. DOI: 10.1080/10298436.2019.1580366</mixed-citation><mixed-citation xml:lang="en">Rabbi M.F., Mishra D. Using FWD deflection basin parameters for network-level assessment of flexible pavements. International Journal of Pavement Engineering. 2021; 22(2):147-161. DOI: 10.1080/10298436.2019.1580366</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Jing C., Zhang J., Song B. An innovative evaluation method for performance of in-service asphalt pavement with semi-rigid base // Construction and Building Materials. 2020. Vol. 235. P. 117376. DOI: 10.1016/j.conbuildmat.2019.117376</mixed-citation><mixed-citation xml:lang="en">Jing C., Zhang J., Song B. An innovative evaluation method for performance of in-service asphalt pavement with semi-rigid base. Construction and Building Materials. 2020; 235:117376. DOI: 10.1016/j.conbuildmat.2019.117376</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Vyas V., Singh A.P., Srivastava A. Entropy-based fuzzy SWOT decision-making for condition assessment of airfield pavements // International Journal of Pavement Engineering. 2021. Vol. 22. Issue 10. Pp. 1226–1237. DOI: 10.1080/10298436.2019.1671590</mixed-citation><mixed-citation xml:lang="en">Vyas V., Singh A.P., Srivastava A. Entropy-based fuzzy SWOT decision-making for condition assessment of airfield pavements. International Journal of Pavement Engineering. 2021; 22(10):1226-1237. DOI: 10.1080/10298436.2019.1671590</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Bosurgi G., Pellegrino O., Sollazzo G. Pavement condition information modelling in an I-BIM environment // International Journal of Pavement Engineering. 2022. Vol. 23. Issue 13. Pp. 4803–4818. DOI: 10.1080/10298436.2021.1978442</mixed-citation><mixed-citation xml:lang="en">Bosurgi G., Pellegrino O., Sollazzo G. Pavement condition information modelling in an I-BIM environment. International Journal of Pavement Engineering. 2022; 23(13):4803-4818. DOI: 10.1080/10298436.2021.1978442</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Vyas V., Singh A.P., Srivastava A. Prediction of asphalt pavement condition using FWD deflection basin parameters and artificial neural networks // Road Materials and Pavement Design. 2021. Vol. 22. Issue 12. Pp. 2748–2766. DOI: 10.1080/14680629.2020.1797855</mixed-citation><mixed-citation xml:lang="en">Vyas V., Singh A.P., Srivastava A. Prediction of asphalt pavement condition using FWD deflection basin parameters and artificial neural networks. Road Materials and Pavement Design. 2021; 22(12):2748-2766. DOI: 10.1080/14680629.2020.1797855</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Wang J., Chen M., Gao W., Guo Z., Liu Y. A comparison of network level pavement condition assessment in road asset management // International Journal of Transportation Engineering and Technology. 2020. Vol. 6. Issue 3. P. 95. DOI: 10.11648/j.ijtet.20200603.14</mixed-citation><mixed-citation xml:lang="en">Wang J., Chen M., Gao W., Guo Z., Liu Y. A comparison of network level pavement condition assessment in road asset management. International Journal of Transportation Engineering and Technology. 2020; 6(3):95. DOI: 10.11648/j.ijtet.20200603.14</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Kumar R., Suman S.K. Development of overall pavement condition index for maintenance strategy selection for Indian highways // International Journal of System Assurance Engineering and Management. 2022. Vol. 13. Issue 2. Pp. 832–843. DOI: 10.1007/s13198-021-01344-z</mixed-citation><mixed-citation xml:lang="en">Kumar R., Suman S.K. Development of overall pavement condition index for maintenance strategy selection for Indian highways. International Journal of System Assurance Engineering and Management. 2022; 13(2):832-843. DOI: 10.1007/s13198-021-01344-z</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Issa A., Sammaneh H., Abaza K. Modeling pavement condition index using cascade architecture: classical and neural network methods // Iranian Journal of Science and Technology, Transactions of Civil Engineering. 2022. Vol. 46. Issue 1. Pp. 483–495. DOI: 10.1007/s40996-021-00678-9</mixed-citation><mixed-citation xml:lang="en">Issa A., Sammaneh H., Abaza K. Modeling pavement condition index using cascade architecture: classical and neural network methods. Iranian Journal of Science and Technology, Transactions of Civil Engineering. 2022; 46(1):483-495. DOI: 10.1007/s40996-021-00678-9</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Han C., Fang M., Ma T., Cao H., Peng H. An intelligent decision-making framework for asphalt pavement maintenance using the clustering-PageRank algorithm // Engineering Optimization. 2020. Vol. 52. Issue 11. Pp. 1829–1847. DOI: 10.1080/0305215X.2019.1677636</mixed-citation><mixed-citation xml:lang="en">Han C., Fang M., Ma T., Cao H., Peng H. An intelligent decision-making framework for asphalt pavement maintenance using the clustering-PageRank algorithm. Engineering Optimization. 2020; 52(11):1829-1847. DOI: 10.1080/0305215X.2019.1677636</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Ndume V., Mlavi E., Mwaipungu R. Development of road pavement condition index using combined parameters // Civil Engineering Research. 2020. Vol. 10. Issue 3. Pp. 53–62. DOI: 10.5923/j.jce.20201003.01</mixed-citation><mixed-citation xml:lang="en">Ndume V., Mlavi E., Mwaipungu R. Development of Road Pavement Condition Index Using Combined Parameters. Civil Engineering Research. 2020; 10(3):53-62. DOI: 10.5923/j.jce.20201003.01</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Kravcovas I., Vaitkus A., Kleizienė R. Comparison of pavement performance models for urban road management system // The Baltic Journal of Road and Bridge Engineering. 2020. Vol. 15. Issue 3. Pp. 111–129. DOI: 10.7250/bjrbe.2020-15.487</mixed-citation><mixed-citation xml:lang="en">Kravcovas I., Vaitkus A., Kleizienė R. Comparison of pavement performance models for urban road management system. The Baltic Journal of Road and Bridge Engineering. 2020; 15(3):111-129. DOI: 10.7250/bjrbe.2020-15.487</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Mubaraki M., Sallam H. The most effective index for pavement management of urban major roads at a network level // Arabian Journal for Science and Engineering. 2021. Vol. 46. Issue 5. Pp. 4615–4626. DOI: 10.1007/s13369-020-05122-0</mixed-citation><mixed-citation xml:lang="en">Mubaraki M., Sallam H. The most effective index for pavement management of urban major roads at a network level. Arabian Journal for Science and Engineering. 2021; 46(5):4615-4626. DOI: 10.1007/s13369-020-05122-0</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Titi H., Qamhia I.I., Ramirez J., Tabatabai H. Long-term performance of flexible pavements constructed on recycled base layers // Transportation Research Record: Journal of the Transportation Research Board. 2022. Vol. 2676. Issue 11. Pp. 206–222. DOI: 10.1177/03611981221092000</mixed-citation><mixed-citation xml:lang="en">Titi H., Qamhia I.I., Ramirez J., Tabatabai H. Long-Term Performance of Flexible Pavements Constructed on Recycled Base Layers. Transportation Research Record: Journal of the Transportation Research Board. 2022; 2676(11):206-222. DOI: 10.1177/03611981221092000</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Nabipour N., Karballaeezadeh N., Dineva A., Mosavi A., Mohammadzadeh S.D., Shamshirband S. Comparative analysis of machine learning models for prediction of remaining service life of flexible pavement // Mathematics. 2019. Vol. 7. Issue 12. P. 1198. DOI: 10.3390/math7121198</mixed-citation><mixed-citation xml:lang="en">Nabipour N., Karballaeezadeh N., Dineva A., Mosavi A., Mohammadzadeh S.D., Shamshirband S. Comparative analysis of machine learning models for prediction of remaining service life of flexible pavement. Mathematics. 2019; 7(12):1198. DOI: 10.3390/math7121198</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Elshamy M.M.M., Tiraturyan A.N., Uglova E.V. Evaluation of the elastic modulus of pavement layers using different types of neural networks models // Advanced Engineering Research. 2022. Vol. 21. Issue 4. Pp. 364–375. DOI: 10.23947/2687-1653-2021-21-4-364-375</mixed-citation><mixed-citation xml:lang="en">Elshamy M.M.M., Tiraturyan A.N., Uglova E.V. Evaluation of the elastic modulus of pavement layers using different types of neural networks models. Advanced Engineering Research. 2022; 21(4):364-375. DOI: 10.23947/2687-1653-2021-21-4-364-375</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Elshamy M.M.M., Tiraturyan A.N., Uglova E.V., Zakari M. Development of the non-destructive monitoring methods of the pavement conditions via artificial neural networks // Journal of Physics: Conference Series. 2020. Vol. 1614. Issue 1. P. 012099. DOI: 10.1088/1742-6596/1614/1/012099</mixed-citation><mixed-citation xml:lang="en">Elshamy M.M.M., Tiraturyan A.N., Uglova E.V., Zakari M. Development of the non-destructive monitoring methods of the pavement conditions via artificial neural networks. Journal of Physics: Conference Series. 2020; 1614(1):012099. DOI: 10.1088/1742-6596/1614/1/012099</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Elshamy M.M.M., Tiraturyan A.N., Uglova E.V., Elgendy M.Z. Evaluation of pavement condition deterioration using artificial intelligence models // Advanced Engineering Research. 2022. Vol. 22. Issue 3. Pp. 272–284. DOI: 10.23947/2687-1653-2022-22-3-272-284</mixed-citation><mixed-citation xml:lang="en">Elshamy M.M.M., Tiraturyan A.N., Uglova E.V., Elgendy M.Z. Evaluation of Pavement Condition Deterioration Using Artificial Intelligence Models. Advanced Engineering Research. 2022; 22(3):272-284. DOI: 10.23947/2687-1653-2022-22-3-272-284</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Elshamy M.M.M., Tiraturyan A.N., Uglova E.V., Elgendy M.Z. Comparison of feed-forward, cascade-forward, and Elman algorithms models for determination of the elastic modulus of pavement layers // 2021 4th International Conference on Geoinformatics and Data Analysis. 2021. Pp. 46–53. DOI: 10.1145/3465222.3465235</mixed-citation><mixed-citation xml:lang="en">Elshamy M.M.M., Tiraturyan A.N., Uglova E.V., Elgendy M.Z. Comparison of feed-forward, cascade-forward, and Elman algorithms models for determination of the elastic modulus of pavement layers. 2021 4th International Conference on Geoinformatics and Data Analysis. 2021; 46-53. DOI: 10.1145/3465222.3465235</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Wang H. Life cycle assessment of asphalt pavement maintenance. Rutgers University. Center for Advanced Infrastructure and Transportation, 2014.</mixed-citation><mixed-citation xml:lang="en">Wang H. Life Cycle Assessment of Asphalt Pavement Maintenance. Rutgers University. Center for Advanced Infrastructure and Transportation, 2014.</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Ushakov I. Reliability: past, present, future // Reliability: Theory &amp; Applications. 2006. Vol. 1. No. 1 (1). Pp. 10–16.</mixed-citation><mixed-citation xml:lang="en">Ushakov I. Reliability: past, present, future. Reliability: Theory &amp; Applications. 2006; 1(1):10-16.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
