{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:28:50Z","timestamp":1772119730508,"version":"3.50.1"},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2024,4,22]],"date-time":"2024-04-22T00:00:00Z","timestamp":1713744000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,4,22]],"date-time":"2024-04-22T00:00:00Z","timestamp":1713744000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Technical University of Kosice"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Mobile Netw Appl"],"published-print":{"date-parts":[[2024,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Increased demand for transport services and increased mobility of citizens can lead to a reduction in the level of reliability of transport systems. This in turn increases the demand for ways to assess the reliability of road infrastructure by both transport companies and individual users. The article presents the substantive basis of an application used to determine the reliability of transport infrastructure. Our approach was based on grouping information into clusters \u2013 based on the author\u2019s proprietary clustering method. Its basis is the detailed analysis of the road infrastructure in terms of errors occurring on it, divided into conceptual, design and operational errors. The methodology consists of three stages of clustering (1) creating a database of sections with assigned errors, (2) determining the initial clusters, (3) creating a final database of clusters, and then assessing the reliability of the road infrastructure of the transport system on their basis. The assumption is that the application will remain open-ended \u2013 i.e. the database will be developed by users. The proposed methodology was verified on the example of the selected route in Poland (between Kalisz and Szczecin). Based on the results obtained during the experiment on the selected route, errors in the road infrastructure were determined. This, in turn, allowed us to find that there are a number of errors in the road infrastructure, including errors with a high frequency of occurrence i.e. the so-called permanent errors, which further confirms the need to create an application to assess the reliability of the road infrastructure.<\/jats:p>","DOI":"10.1007\/s11036-024-02328-6","type":"journal-article","created":{"date-parts":[[2024,4,22]],"date-time":"2024-04-22T15:02:01Z","timestamp":1713798121000},"page":"981-990","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Cluster Analysis as a Basis for the Development of an Application Assessing the Reliability of Transport Infrastructure"],"prefix":"10.1007","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8869-0656","authenticated-orcid":false,"given":"Piotr","family":"Trojanowski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2576-7238","authenticated-orcid":false,"given":"Jozef","family":"Hus\u00e1r","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1198-5274","authenticated-orcid":false,"given":"Stella","family":"Hrehov\u00e1","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1925-4038","authenticated-orcid":false,"given":"Lucia","family":"Knap\u010d\u00edkov\u00e1","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,4,22]]},"reference":[{"key":"2328_CR1","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1007\/978-3-031-06025-0_11","volume-title":"Design, simulation, manufacturing: the innovation exchange","author":"P Trojanowski","year":"2022","unstructured":"Trojanowski P, Trusz A, Stupin B (2022) Correlation between accidents on selected roads as fundamental for determining the safety level of road infrastructure. In: Design, simulation, manufacturing: the innovation exchange. Springer, Cham, pp 104\u2013113. https:\/\/doi.org\/10.1007\/978-3-031-06025-0_11"},{"key":"2328_CR2","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.aap.2018.02.025","volume":"115","author":"JJ Rolison","year":"2018","unstructured":"Rolison JJ, Regev S, Moutari S, Feeney A (2018) What are the factors that contribute to road accidents? An assessment of law enforcement views, ordinary drivers\u2019 opinions, and road accident records. Accid Anal Prev 115:11\u201324. https:\/\/doi.org\/10.1016\/j.aap.2018.02.025","journal-title":"Accid Anal Prev"},{"issue":"10","key":"2328_CR3","doi-asserted-by":"publisher","first-page":"e0223473","DOI":"10.1371\/journal.pone.0223473","volume":"14","author":"I Ashraf","year":"2019","unstructured":"Ashraf I, Hur S, Shafiq M, Park Y (2019) Catastrophic factors involved in road accidents: underlying causes and descriptive analysis. PLoS One 14(10):e0223473. https:\/\/doi.org\/10.1371\/journal.pone.0223473","journal-title":"PLoS One"},{"issue":"2","key":"2328_CR4","doi-asserted-by":"publisher","first-page":"76","DOI":"10.2478\/logi-2020-0017","volume":"11","author":"E Szumska","year":"2020","unstructured":"Szumska E, Frej D, Grabski P (2020) Analysis of the causes of vehicle accidents in Poland in 2009-2019. LOGI Sci J Transp Logistics 11(2):76\u201387. https:\/\/doi.org\/10.2478\/logi-2020-0017","journal-title":"LOGI Sci J Transp Logistics"},{"issue":"5","key":"2328_CR5","doi-asserted-by":"publisher","first-page":"562","DOI":"10.1080\/19439962.2018.1450314","volume":"11","author":"AS Lee","year":"2019","unstructured":"Lee AS, Lin WH, Gill GS, Cheng W (2019) An enhanced empirical bayesian method for identifying road hotspots and predicting number of crashes. J Transp Saf Secur 11(5):562\u2013578. https:\/\/doi.org\/10.1080\/19439962.2018.1450314","journal-title":"J Transp Saf Secur"},{"issue":"12","key":"2328_CR6","doi-asserted-by":"publisher","first-page":"1324","DOI":"10.1080\/24725854.2021.1914879","volume":"53","author":"S Mukherjee","year":"2021","unstructured":"Mukherjee S, Jain T (2021) Do the mobility patterns for city taxicabs impact road safety? IISE Trans 53(12):1324\u20131336. https:\/\/doi.org\/10.1080\/24725854.2021.1914879","journal-title":"IISE Trans"},{"key":"2328_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/ICCUBEA.2017.8463973","volume-title":"In 2017 international conference on computing, communication, control and automation (ICCUBEA)","author":"SS Mane","year":"2017","unstructured":"Mane SS, Shah SAK (2017) Object tracking and analysis for detecting various situations at level crossings of railway-road. In: In 2017 international conference on computing, communication, control and automation (ICCUBEA). IEEE, pp 1\u20135. https:\/\/doi.org\/10.1109\/ICCUBEA.2017.8463973"},{"issue":"3","key":"2328_CR8","doi-asserted-by":"publisher","first-page":"56","DOI":"10.23968\/2500-0055-2020-5-3-56-62","volume":"5","author":"K Elena","year":"2020","unstructured":"Elena K, Sergei E, Jaros\u0142aw R (2020) Potential for improving the procedure of inspecting road traffic accident black spots. Archit Eng 5(3):56\u201362. https:\/\/doi.org\/10.23968\/2500-0055-2020-5-3-56-62","journal-title":"Archit Eng"},{"key":"2328_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.aap.2019.03.002","volume":"128","author":"M Ghadi","year":"2019","unstructured":"Ghadi M, T\u00f6r\u00f6k \u00c1 (2019) A comparative analysis of black spot identification methods and road accident segmentation methods. Accid Anal Prev 128:1\u20137. https:\/\/doi.org\/10.1016\/j.aap.2019.03.002","journal-title":"Accid Anal Prev"},{"key":"2328_CR10","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.aap.2017.11.021","volume":"111","author":"B Debrabant","year":"2018","unstructured":"Debrabant B, Halekoh U, Bonat WH, Hansen DL, Hjelmborg J, Lauritsen J (2018) Identifying traffic accident black spots with Poisson-Tweedie models. Accid Anal Prev 111:147\u2013154. https:\/\/doi.org\/10.1016\/j.aap.2017.11.021","journal-title":"Accid Anal Prev"},{"key":"2328_CR11","doi-asserted-by":"publisher","first-page":"410","DOI":"10.1016\/j.trpro.2021.07.004","volume":"55","author":"P Trojanowski","year":"2021","unstructured":"Trojanowski P, Filina-Dawidowicz L (2021) Diagnostic and repair centers locating methodology for vehicles carrying sensitive cargo. Transp Res Proc 55:410\u2013417. https:\/\/doi.org\/10.1016\/j.trpro.2021.07.004","journal-title":"Transp Res Proc"},{"key":"2328_CR12","doi-asserted-by":"publisher","first-page":"607","DOI":"10.1016\/j.ssci.2019.05.039","volume":"118","author":"Z Fan","year":"2019","unstructured":"Fan Z, Liu C, Cai D, Yue S (2019) Research on black spot identification of safety in urban traffic accidents based on machine learning method. Saf Sci 118:607\u2013616. https:\/\/doi.org\/10.1016\/j.ssci.2019.05.039","journal-title":"Saf Sci"},{"issue":"12","key":"2328_CR13","doi-asserted-by":"publisher","first-page":"2448","DOI":"10.28991\/cej-2020-03091629","volume":"6","author":"A Iqbal","year":"2020","unstructured":"Iqbal A, Ur Rehman Z, Ali S, Ullah K, Ghani U (2020) Road traffic accident analysis and identification of black spot locations on highway. Civil Eng J 6(12):2448\u20132456. https:\/\/doi.org\/10.28991\/cej-2020-03091629","journal-title":"Civil Eng J"},{"key":"2328_CR14","doi-asserted-by":"publisher","first-page":"1393","DOI":"10.3390\/app13031393","volume":"13","author":"M Adamczak","year":"2023","unstructured":"Adamczak M, Kolinski A, Trojanowska J, Hus\u00e1r J (2023) Digitalization trend and its influence on the development of the operational process in production companies. Appl Sci 13:1393. https:\/\/doi.org\/10.3390\/app13031393","journal-title":"Appl Sci"},{"issue":"2","key":"2328_CR15","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1007\/s12239-020-0029-4","volume":"21","author":"A Drosu","year":"2020","unstructured":"Drosu A, Cofaru C, Popescu MV (2020) Influence of weather conditions on fatal road accidents on highways and urban and rural roads in Romania. Int J Automot Technol 21(2):309\u2013317. https:\/\/doi.org\/10.1007\/s12239-020-0029-4","journal-title":"Int J Automot Technol"},{"key":"2328_CR16","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1007\/978-3-030-77719-7_26","volume-title":"Design, simulation, manufacturing: the innovation exchange","author":"P Trojanowski","year":"2021","unstructured":"Trojanowski P, Trojanowska J (2021) Reliability of road transport means as a factor affecting the risk of failure\u2013the transport problem case study. In: Design, simulation, manufacturing: the innovation exchange. Springer, Cham, pp 253\u2013261. https:\/\/doi.org\/10.1007\/978-3-030-77719-7_26"},{"key":"2328_CR17","doi-asserted-by":"publisher","unstructured":"Nguyen T D, Gupta S, Andersen M, Bento A, Simon K I, Wing C (2020) Impacts of state reopening policy on human mobility (No. w27235). National Bureau of Economic Research. https:\/\/doi.org\/10.3386\/w27235","DOI":"10.3386\/w27235"},{"issue":"1","key":"2328_CR18","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1109\/TITS.2018.2815678","volume":"20","author":"L Zhu","year":"2018","unstructured":"Zhu L, Yu FR, Wang Y, Ning B, Tang T (2018) Big data analytics in intelligent transportation systems: a survey. IEEE Trans Intell Transp Syst 20(1):383\u2013398. https:\/\/doi.org\/10.1109\/TITS.2018.2815678","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"2328_CR19","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1016\/j.trpro.2018.12.113","volume":"36","author":"V Kurganov","year":"2018","unstructured":"Kurganov V, Gryaznov M, Dorofeev A (2018) Management of transportation process reliability based on an ontological model of an information system. Transp Res Proc 36:392\u2013397. https:\/\/doi.org\/10.1016\/j.trpro.2018.12.113","journal-title":"Transp Res Proc"},{"key":"2328_CR20","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.future.2019.02.011","volume":"96","author":"AS Alic","year":"2019","unstructured":"Alic AS, Almeida J, Aloisio G, Andrade N, Antunes N, Ardagna D et al (2019) BIGSEA: a big data analytics platform for public transportation information. Futur Gener Comput Syst 96:243\u2013269. https:\/\/doi.org\/10.1016\/j.future.2019.02.011","journal-title":"Futur Gener Comput Syst"},{"issue":"sup1","key":"2328_CR21","doi-asserted-by":"publisher","first-page":"S15","DOI":"10.1080\/15389588.2017.1370089","volume":"19","author":"C Pal","year":"2018","unstructured":"Pal C, Hirayama S, Narahari S, Jeyabharath M, Prakash G, Kulothungan V (2018) An insight of World Health Organization (WHO) accident database by cluster analysis with self-organizing map (SOM). Traffic Inj Prev 19(sup1):S15\u2013S20. https:\/\/doi.org\/10.1080\/15389588.2017.1370089","journal-title":"Traffic Inj Prev"},{"issue":"4","key":"2328_CR22","doi-asserted-by":"publisher","first-page":"27","DOI":"10.2478\/jok-2019-0073","volume":"49","author":"AG Frehaileab","year":"2019","unstructured":"Frehaileab AG, Szpytko J (2019) Reliability assessment of the transport system, Addis Ababa case study. J KONBiN 49(4):27\u201336. https:\/\/doi.org\/10.2478\/jok-2019-0073","journal-title":"J KONBiN"},{"key":"2328_CR23","doi-asserted-by":"publisher","first-page":"012028","DOI":"10.1088\/1757-899X\/664\/1\/012028","volume-title":"IOP conference series: materials science and engineering","author":"M Szkoda","year":"2019","unstructured":"Szkoda M, Kaczor G, Satora M (2019) Reliability and availability assessment of a transport system using dynamic fault tree and Monte Carlo simulation. In IOP conference series: materials science and engineering (Vol. 664, No. 1, 012028). IOP Publishing. https:\/\/doi.org\/10.1088\/1757-899X\/664\/1\/012028"},{"key":"2328_CR24","doi-asserted-by":"publisher","unstructured":"Smolarek L, Ziemska M (2019) Modelling of transport system operational reliability a Markov approach. J KONES 26. https:\/\/doi.org\/10.2478\/kones-2019-0112","DOI":"10.2478\/kones-2019-0112"},{"issue":"3","key":"2328_CR25","doi-asserted-by":"publisher","first-page":"3075","DOI":"10.3233\/JIFS-191010","volume":"38","author":"K Yang","year":"2020","unstructured":"Yang K, Wang R, Yang L (2020) Fuzzy reliability-oriented optimization for the road-rail intermodal transport system using tabu search algorithm. J Intell Fuzzy Syst 38(3):3075\u20133091. https:\/\/doi.org\/10.3233\/JIFS-191010","journal-title":"J Intell Fuzzy Syst"},{"key":"2328_CR26","series-title":"Lecture notes in mechanical engineering","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93587-4_4","volume-title":"Advances in design, simulation and manufacturing. DSMIE 2019","author":"J Husar","year":"2019","unstructured":"Husar J, Knapcikova L, Balog M (2019) Implementation of material flow simulation as a learning tool. In: Ivanov V et al (eds) Advances in design, simulation and manufacturing. DSMIE 2019, Lecture notes in mechanical engineering. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-319-93587-4_4"},{"key":"2328_CR27","doi-asserted-by":"publisher","first-page":"3436","DOI":"10.1016\/j.trpro.2016.05.303","volume":"14","author":"L Persia","year":"2016","unstructured":"Persia L, Usami DS, De Simone F, De La Beaumelle VF, Yannis G, Laiou A et al (2016) Management of road infrastructure safety. Transp Res Proc 14:3436\u20133445. https:\/\/doi.org\/10.1016\/j.trpro.2016.05.303","journal-title":"Transp Res Proc"},{"key":"2328_CR28","doi-asserted-by":"publisher","first-page":"00009","DOI":"10.1051\/e3sconf\/20182600009","volume-title":"In E3S web of conferences","author":"M Budzy\u0144ski","year":"2018","unstructured":"Budzy\u0144ski M, Kustra W, Okraszewska R, Jamroz K, Pyrchla J (2018) The use of GIS tools for road infrastructure safety management. In: In E3S web of conferences, vol 26. EDP sciences, p 00009. https:\/\/doi.org\/10.1051\/e3sconf\/20182600009"},{"key":"2328_CR29","doi-asserted-by":"publisher","first-page":"02008","DOI":"10.1051\/matecconf\/201712202008","volume-title":"In MATEC web of conferences","author":"W Kustra","year":"2017","unstructured":"Kustra W, Michalski L (2017) Tools for road infrastructure safety management in Poland. In: In MATEC web of conferences, vol 122. EDP sciences, p 02008. https:\/\/doi.org\/10.1051\/matecconf\/201712202008"},{"key":"2328_CR30","doi-asserted-by":"publisher","first-page":"042066","DOI":"10.1088\/1757-899X\/245\/4\/042066","volume-title":"IOP conference series: materials science and engineering","author":"M Budzynski","year":"2017","unstructured":"Budzynski M, Jamroz K, Kustra W, Michalski L, Gaca S (2017) Road infrastructure safety management in Poland. In IOP conference series: materials science and engineering (245, No. 4, 042066). IOP Publishing. https:\/\/doi.org\/10.1088\/1757-899X\/245\/4\/042066"},{"key":"2328_CR31","unstructured":"Directive 2008\/96\/EC of the European Parliament and of the Council of 19 November 2008 on road infrastructure safety management"},{"issue":"21","key":"2328_CR32","doi-asserted-by":"publisher","first-page":"3604","DOI":"10.3390\/electronics11213604","volume":"11","author":"H Ge","year":"2022","unstructured":"Ge H, Dong L, Huang M, Zang W, Zhou L (2022) Adaptive kernel density estimation for traffic accidents based on improved bandwidth research on black spot identification model. Electronics 11(21):3604. https:\/\/doi.org\/10.3390\/electronics11213604","journal-title":"Electronics"},{"issue":"6","key":"2328_CR33","doi-asserted-by":"publisher","first-page":"04018042","DOI":"10.1061\/(ASCE)ME.1943-5479.0000638","volume":"34","author":"V Valentin","year":"2018","unstructured":"Valentin V, Naderpajouh N, Abraham DM (2018) Integrating the input of stakeholders in infrastructure risk assessment. J Manag Eng 34(6):04018042. https:\/\/doi.org\/10.1061\/(ASCE)ME.1943-5479.0000638","journal-title":"J Manag Eng"},{"issue":"1","key":"2328_CR34","doi-asserted-by":"publisher","first-page":"51","DOI":"10.23968\/2500-0055-2020-5-1-51-58","volume":"5","author":"K Elena","year":"2020","unstructured":"Elena K, Sergei E, Grigory G (2020) Systemic indicators of road infrastructure at accident clusters. Archit Eng 5(1):51\u201358. https:\/\/doi.org\/10.23968\/2500-0055-2020-5-1-51-58","journal-title":"Archit Eng"},{"issue":"1","key":"2328_CR35","doi-asserted-by":"publisher","first-page":"46","DOI":"10.3311\/PPci.11753","volume":"63","author":"M Ghadi","year":"2019","unstructured":"Ghadi M, T\u00f6r\u00f6k \u00c1, T\u00e1nczos K (2019) Integration of probability and clustering based approaches in the field of black spot identification. Period Polytech: Civ Eng 63(1):46\u201352. https:\/\/doi.org\/10.3311\/PPci.11753","journal-title":"Period Polytech: Civ Eng"},{"key":"2328_CR36","doi-asserted-by":"publisher","first-page":"104710","DOI":"10.1016\/j.ssci.2020.104710","volume":"127","author":"L Hu","year":"2020","unstructured":"Hu L, Wu X, Huang J, Peng Y, Liu W (2020) Investigation of clusters and injuries in pedestrian crashes using GIS in Changsha, China. Saf Sci 127:104710. https:\/\/doi.org\/10.1016\/j.ssci.2020.104710","journal-title":"Saf Sci"},{"key":"2328_CR37","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1007\/978-3-319-56541-5_50","volume-title":"World conference on information systems and technologies","author":"J Trojanowska","year":"2017","unstructured":"Trojanowska J, Varela MLR, Machado J (2017) The tool supporting decision making process in area of job-shop scheduling. In: World conference on information systems and technologies. Springer, Cham, pp 490\u2013498. https:\/\/doi.org\/10.1007\/978-3-319-56541-5_50"},{"key":"2328_CR38","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/978-3-031-15101-9_14","volume-title":"International conference on future access enablers of ubiquitous and intelligent infrastructures","author":"L Knap\u010d\u00edkov\u00e1","year":"2022","unstructured":"Knap\u010d\u00edkov\u00e1 L, Marti\u010dek M, Hus\u00e1r J, Ka\u0161\u010dak J (2022) Intelligent monitoring of loading and unloading process in Enterprise transport system. In: International conference on future access enablers of ubiquitous and intelligent infrastructures. Springer, Cham, pp 193\u2013203. https:\/\/doi.org\/10.1007\/978-3-031-15101-9_14"},{"key":"2328_CR39","doi-asserted-by":"publisher","first-page":"2192","DOI":"10.1016\/j.procs.2020.09.256","volume":"176","author":"L Filina-Dawidowicz","year":"2020","unstructured":"Filina-Dawidowicz L, Cernova-Bickova A, Semenov I, Mo\u017cdrze\u0144 D, Wiktorowska-Jasik A, Bickovs D (2020) Information support of cargo ferry transport: case study of Latvia. Procedia Comput Sci 176:2192\u20132201. https:\/\/doi.org\/10.1016\/j.procs.2020.09.256","journal-title":"Procedia Comput Sci"},{"issue":"4","key":"2328_CR40","doi-asserted-by":"publisher","first-page":"2312","DOI":"10.24200\/sci.2017.4450","volume":"25","author":"Z Gharib","year":"2018","unstructured":"Gharib Z, Bozorgi-Amiri A, Tavakkoli-Moghaddam R, Najafi E (2018) A cluster-based emergency vehicle routing problem in disaster with reliability. Sci Iran 25(4):2312\u20132330. https:\/\/doi.org\/10.24200\/sci.2017.4450","journal-title":"Sci Iran"},{"key":"2328_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/UIC-ATC.2017.8397587","volume-title":"In 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & big Data Computing, internet of people and Smart City innovation (SmartWorld\/SCALCOM\/UIC\/ATC\/CBDCom\/IOP\/SCI)","author":"G Pettet","year":"2017","unstructured":"Pettet G, Nannapaneni S, Stadnick B, Dubey A, Biswas G (2017) Incident analysis and prediction using clustering and bayesian network. In: In 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & big Data Computing, internet of people and Smart City innovation (SmartWorld\/SCALCOM\/UIC\/ATC\/CBDCom\/IOP\/SCI). IEEE, pp 1\u20138. https:\/\/doi.org\/10.1109\/UIC-ATC.2017.8397587"},{"issue":"2","key":"2328_CR42","doi-asserted-by":"publisher","first-page":"884","DOI":"10.11591\/ijeecs.v13.i3.pp884-891","volume":"13","author":"A Mohanty","year":"2019","unstructured":"Mohanty A, Mahapatra S, Bhanja U (2019) Traffic congestion detection in a city using clustering techniques in VANETs. Indones J Electr Eng Comput Sci 13(2):884\u2013891. https:\/\/doi.org\/10.11591\/ijeecs.v13.i3.pp884-891","journal-title":"Indones J Electr Eng Comput Sci"},{"issue":"9","key":"2328_CR43","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1108\/IMDS-06-2014-0193","volume":"114","author":"RR Iwa\u0144kowicz","year":"2014","unstructured":"Iwa\u0144kowicz RR, Rosochacki W (2014) Clustering risk assessment method for shipbuilding industry. Ind Manag Data Syst 114(9):1499\u20131518. https:\/\/doi.org\/10.1108\/IMDS-06-2014-0193","journal-title":"Ind Manag Data Syst"},{"key":"2328_CR44","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.isprsjprs.2016.11.011","volume":"123","author":"M Soil\u00e1n","year":"2017","unstructured":"Soil\u00e1n M, Riveiro B, Mart\u00ednez-S\u00e1nchez J, Arias P (2017) Segmentation and classification of road markings using MLS data. ISPRS J Photogramm Remote Sens 123:94\u2013103. https:\/\/doi.org\/10.1016\/j.isprsjprs.2016.11.011","journal-title":"ISPRS J Photogramm Remote Sens"},{"key":"2328_CR45","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.comnet.2017.12.003","volume":"131","author":"R Ghebleh","year":"2018","unstructured":"Ghebleh R (2018) A comparative classification of information dissemination approaches in vehicular ad hoc networks from distinctive viewpoints: a survey. Comput Netw 131:15\u201337. https:\/\/doi.org\/10.1016\/j.comnet.2017.12.003","journal-title":"Comput Netw"},{"issue":"17","key":"2328_CR46","doi-asserted-by":"publisher","first-page":"6735","DOI":"10.3390\/SU12176735","volume":"12","author":"G Guido","year":"2020","unstructured":"Guido G, Haghshenas SS, Haghshenas SS, Vitale A, Gallelli V, Astarita V (2020) Development of a binary classification model to assess safety in transportation systems using GMDH-type neural network algorithm. Sustainability 12(17):6735. https:\/\/doi.org\/10.3390\/SU12176735","journal-title":"Sustainability"},{"key":"2328_CR47","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/ISACV.2018.8354025","volume-title":"In 2018 international conference on intelligent systems and computer vision (ISCV)","author":"A Bengag","year":"2018","unstructured":"Bengag A, El Boukhari M (2018) Classification and comparison of routing protocols in VANETs. In: In 2018 international conference on intelligent systems and computer vision (ISCV). IEEE, pp 1\u20138. https:\/\/doi.org\/10.1109\/ISACV.2018.8354025"},{"key":"2328_CR48","volume-title":"Methodology of designing and analyzing the operational reliability of the land-water transport system for sensitive cargoes to polish seaports, dissertation, west Pomeranian University of technology in Szczecin","author":"P Trojanowski","year":"2019","unstructured":"Trojanowski P (2019) Methodology of designing and analyzing the operational reliability of the land-water transport system for sensitive cargoes to polish seaports, dissertation, west Pomeranian University of technology in Szczecin. Faculty of Maritime Technology and Transport, Szczecin"},{"key":"2328_CR49","doi-asserted-by":"publisher","unstructured":"Hrehov\u00e1 S, Hus\u00e1r J, Knap\u010d\u00edkov\u00e1 L (2022) The fuzzy logic predictive model for remote increasing energy efficiency. Mobile Netw Appl. https:\/\/doi.org\/10.1007\/s11036-022-02050-1","DOI":"10.1007\/s11036-022-02050-1"},{"issue":"4","key":"2328_CR50","doi-asserted-by":"publisher","first-page":"777","DOI":"10.17531\/ein.2021.4.20","volume":"23","author":"E Koz\u0142owski","year":"2021","unstructured":"Koz\u0142owski E, Antosz K, Mazurkiewicz D, S\u0119p J, \u017babi\u0144ski T (2021) Integrating advanced measurement and signal processing for reliability decision-making. Eksploatacja i Niezawodno\u015b\u0107 \u2013 maintenance and reliability 23(4):777\u2013787. https:\/\/doi.org\/10.17531\/ein.2021.4.20","journal-title":"Eksploatacja i Niezawodno\u015b\u0107 \u2013 maintenance and reliability"},{"key":"2328_CR51","doi-asserted-by":"publisher","unstructured":"Kascak J, Baron P, Torok J, Pollak M, Teliskova M (2019) Macrostructure digitalization of roadway surface profiles. MM Sci J:2839\u20132844. https:\/\/doi.org\/10.17973\/MMSJ.2019_03_201875","DOI":"10.17973\/MMSJ.2019_03_201875"}],"container-title":["Mobile Networks and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11036-024-02328-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11036-024-02328-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11036-024-02328-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T14:06:53Z","timestamp":1735654013000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11036-024-02328-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,22]]},"references-count":51,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,6]]}},"alternative-id":["2328"],"URL":"https:\/\/doi.org\/10.1007\/s11036-024-02328-6","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-4147813\/v1","asserted-by":"object"}]},"ISSN":["1383-469X","1572-8153"],"issn-type":[{"value":"1383-469X","type":"print"},{"value":"1572-8153","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,22]]},"assertion":[{"value":"15 April 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 April 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}