{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T14:34:02Z","timestamp":1750084442689,"version":"3.37.3"},"reference-count":96,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T00:00:00Z","timestamp":1735171200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T00:00:00Z","timestamp":1735171200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100020912","name":"King Faisal University","doi-asserted-by":"publisher","award":["Grant3527"],"award-info":[{"award-number":["Grant3527"]}],"id":[{"id":"10.13039\/501100020912","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1007\/s00521-024-10553-z","type":"journal-article","created":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T05:07:46Z","timestamp":1735189666000},"page":"2071-2087","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Predicting and optimizing the mechanical properties of rejuvenated asphalt mix with RAP content"],"prefix":"10.1007","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8329-5366","authenticated-orcid":false,"given":"Md Kamrul","family":"Islam","sequence":"first","affiliation":[]},{"given":"Uneb","family":"Gazder","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8702-9145","authenticated-orcid":false,"given":"Abdullah","family":"Al Mamun","sequence":"additional","affiliation":[]},{"given":"Md.","family":"Arifuzzaman","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7704-1765","authenticated-orcid":false,"given":"Hamad Ibrahim","family":"Al-Abdul Wahhab","sequence":"additional","affiliation":[]},{"given":"Muhammad Muhitur","family":"Rahman","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,26]]},"reference":[{"key":"10553_CR1","first-page":"195","volume":"2","author":"MO Ajibola","year":"2013","unstructured":"Ajibola MO, Awodiran OO, Salu-Kosoko O (2013) Effects of infrastructure on property values in Unity Estate, Lagos, Nigeria. Int J Econ Manag Soc Sci 2:195\u2013201","journal-title":"Int J Econ Manag Soc Sci"},{"key":"10553_CR2","unstructured":"Bezabih AG, Chandra S (2009) Comparative study of flexible and rigid pavements for different soil and traffic conditions. J Indian Roads Congr pp 153\u2013162."},{"key":"10553_CR3","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.conbuildmat.2017.06.028","volume":"151","author":"M Arshad","year":"2017","unstructured":"Arshad M, Ahmed MF (2017) Potential use of reclaimed asphalt pavement and recycled concrete aggregate in base\/subbase layers of flexible pavements. Constr Build Mater 151:83\u201397","journal-title":"Constr Build Mater"},{"key":"10553_CR4","first-page":"66","volume":"503","author":"HL Von Quintus","year":"2001","unstructured":"Von Quintus HL (2001) Hot-mix asphalt layer thickness design for longer-life bituminous pavements. Transp Res Circ 503:66\u201378","journal-title":"Transp Res Circ"},{"key":"10553_CR5","doi-asserted-by":"crossref","unstructured":"Abouelsaad A, White G (2021) Review of asphalt mixture ravelling mechanisms, causes and testing. Int J Pavement Res Technol pp 1\u201315.","DOI":"10.1007\/s42947-021-00100-7"},{"issue":"5","key":"10553_CR6","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1080\/17415977.2016.1191073","volume":"25","author":"T Garbowski","year":"2017","unstructured":"Garbowski T, Po\u017carycki A (2017) Multi-level backcalculation algorithm for robust determination of pavement layers parameters. Inverse Probl Sci Eng 25(5):674\u2013693","journal-title":"Inverse Probl Sci Eng"},{"key":"10553_CR7","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1016\/j.conbuildmat.2018.02.042","volume":"167","author":"A Nosetti","year":"2018","unstructured":"Nosetti A, P\u00e9rez-Madrigal D, P\u00e9rez-Jim\u00e9nez F, Mart\u00ednez AH (2018) Effect of the recycling process and binder type on bituminous mixtures with 100% reclaimed asphalt pavement. Constr Build Mater 167:440\u2013448","journal-title":"Constr Build Mater"},{"key":"10553_CR8","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1016\/j.compositesb.2015.05.042","volume":"80","author":"S Dos Santos","year":"2015","unstructured":"Dos Santos S, Partl MN, Poulikakos LD (2015) From virgin to recycled bitumen: a microstructural view. Compos B Eng 80:177\u2013185","journal-title":"Compos B Eng"},{"key":"10553_CR9","doi-asserted-by":"publisher","first-page":"879","DOI":"10.1016\/j.rser.2016.10.080","volume":"75","author":"S Liu","year":"2017","unstructured":"Liu S, Shukla A, Nandra T (2017) Technological, environmental and economic aspects of asphalt recycling for road construction. Renew Sustain Energ Rev 75:879\u2013893","journal-title":"Renew Sustain Energ Rev"},{"key":"10553_CR10","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1080\/14680629.2012.657070","volume":"13","author":"W Mogawer","year":"2012","unstructured":"Mogawer W, Bennert T, Daniel JS, Bonaquist R, Austerman A, Booshehrian A (2012) Performance characteristics of plant produced high rap mixtures. Road Mater Pavement Des 13:183\u2013208","journal-title":"Road Mater Pavement Des"},{"key":"10553_CR11","doi-asserted-by":"crossref","unstructured":"Mamun A, Arifuzzaman M, Taha R (2018) Nano scale aging characterization of carbon nanotube modified asphalt binders. In: Proceedings of advances in materials and pavement prediction: papers from the international conference on advances in materials and pavement performance prediction, Doha, Qatar, April 2018, p 403","DOI":"10.1201\/9780429457791-96"},{"key":"10553_CR12","volume":"19","author":"P Sadeghi","year":"2023","unstructured":"Sadeghi P, Goli A (2023) Investigating the cracking performance of asphalt mixture containing RAP using different cracking indices. Case Stud Constr Mater 19:e02340","journal-title":"Case Stud Constr Mater"},{"key":"10553_CR13","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.conbuildmat.2017.08.013","volume":"155","author":"A Bonicelli","year":"2017","unstructured":"Bonicelli A, Calvi P, Martinez-Arguelles G, Fuentes L, Giustozzi F (2017) Experimental study on the use of rejuvenators and plastomeric polymers for improving durability of high RAP content asphalt mixtures. Constr Build Mater 155:37\u201344","journal-title":"Constr Build Mater"},{"key":"10553_CR14","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/j.resconrec.2011.11.013","volume":"60","author":"HM Silva","year":"2012","unstructured":"Silva HM, Oliveira JR, Jesus CM (2012) Are totally recycled hot mix asphalts a sustainable alternative for road paving? Resour Conserv Recycl 60:38\u201348","journal-title":"Resour Conserv Recycl"},{"key":"10553_CR15","volume":"13","author":"MA Ishaq","year":"2020","unstructured":"Ishaq MA, Giustozzi F (2020) Rejuvenator effectiveness in reducing moisture and freeze\/thaw damage on long-term performance of 20% RAP asphalt mixes: an Australian case study. Case Stud Constr Mater 13:e00454","journal-title":"Case Stud Constr Mater"},{"issue":"19","key":"10553_CR16","doi-asserted-by":"publisher","first-page":"8197","DOI":"10.1007\/s00521-022-08095-3","volume":"35","author":"M Altiok","year":"2023","unstructured":"Altiok M, Alakara EH, G\u00fcnd\u00fcz M et al (2023) A multi-objective genetic algorithm for the hot mix asphalt problem. Neural Comput Appl 35(19):8197\u20138225","journal-title":"Neural Comput Appl"},{"key":"10553_CR17","doi-asserted-by":"publisher","first-page":"826","DOI":"10.1016\/j.conbuildmat.2017.05.195","volume":"149","author":"M Elkashef","year":"2017","unstructured":"Elkashef M, Podolsky J, Williams RC, Cochran E (2017) Preliminary examination of soybean oil derived material as a potential rejuvenator through superpave criteria and asphalt bitumen rheology. Constr Build Mater 149:826\u2013836","journal-title":"Constr Build Mater"},{"key":"10553_CR18","doi-asserted-by":"crossref","unstructured":"Moghadas Nejad F, Azarhoosh A, Hamedi GH (2012) Laboratory evaluation of using recycled marble aggregates on the mechanical properties of hot mix asphalt. J Mater Civ Eng","DOI":"10.1061\/(ASCE)MT.1943-5533.0000539"},{"key":"10553_CR19","doi-asserted-by":"publisher","first-page":"909","DOI":"10.1016\/j.conbuildmat.2019.07.126","volume":"224","author":"L Devulapalli","year":"2019","unstructured":"Devulapalli L, Kothandaraman S, Sarang G (2019) Evaluation of rejuvenator\u2019s effectiveness on the reclaimed asphalt pavement incorporated stone matrix asphalt mixtures. Constr Build Mater 224:909\u2013919. https:\/\/doi.org\/10.1016\/j.conbuildmat.2019.07.126","journal-title":"Constr Build Mater"},{"issue":"2","key":"10553_CR20","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1080\/14680629.2013.860910","volume":"15","author":"M Hugener","year":"2014","unstructured":"Hugener M, Partl MN, Morant M (2014) Cold asphalt recycling with 100% reclaimed asphalt pavement and vegetable oil-based rejuvenators. Road Mater Pavement Des 15(2):239\u2013258. https:\/\/doi.org\/10.1080\/14680629.2013.860910","journal-title":"Road Mater Pavement Des"},{"issue":"12","key":"10553_CR21","doi-asserted-by":"publisher","first-page":"04015042","DOI":"10.1061\/(ASCE)MT.1943-5533.0001292","volume":"27","author":"X Jia","year":"2015","unstructured":"Jia X, Huang B, Moore JA, Zhao S (2015) Influence of waste engine oil on asphalt mixtures containing reclaimed asphalt pavement. J Mater Civ Eng 27(12):04015042. https:\/\/doi.org\/10.1061\/(ASCE)MT.1943-5533.0001292","journal-title":"J Mater Civ Eng"},{"key":"10553_CR22","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1016\/j.conbuildmat.2019.06.162","volume":"222","author":"Y Li","year":"2019","unstructured":"Li Y, Shen A, Lyu Z, Wang S, Formela K, Zhang G (2019) Ground tire rubber thermo-mechanically devulcanized in the presence of waste engine oil as asphalt modifier. Constr Build Mater 222:588\u2013600. https:\/\/doi.org\/10.1016\/j.conbuildmat.2019.06.162","journal-title":"Constr Build Mater"},{"key":"10553_CR23","doi-asserted-by":"publisher","DOI":"10.1080\/10298436.2018.1539486","author":"AA Mamun","year":"2018","unstructured":"Mamun AA, Wahhab HIA-A (2018) Comparative laboratory evaluation of waste cooking oil rejuvenated asphalt concrete mixtures for high contents of reclaimed asphalt pavement. Int J Pavement Eng. https:\/\/doi.org\/10.1080\/10298436.2018.1539486","journal-title":"Int J Pavement Eng"},{"key":"10553_CR24","doi-asserted-by":"publisher","DOI":"10.1080\/10298436.2019.1626387","author":"H Taherkhani","year":"2019","unstructured":"Taherkhani H, Noorian F (2019) Laboratory investigation on the properties of asphalt concrete containing reclaimed asphalt pavement and waste cooking oil as recycling agent. Int J Pavement Eng. https:\/\/doi.org\/10.1080\/10298436.2019.1626387","journal-title":"Int J Pavement Eng"},{"key":"10553_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.conbuildmat.2019.117621","volume":"236","author":"Y Xingyu","year":"2020","unstructured":"Xingyu Y, Ruikun D, Naipeng T (2020) Development of a novel binder rejuvenator composed by waste cooking oil and crumb tire rubber. Constr Build Mater 236:117621. https:\/\/doi.org\/10.1016\/j.conbuildmat.2019.117621","journal-title":"Constr Build Mater"},{"key":"10553_CR26","doi-asserted-by":"publisher","first-page":"660","DOI":"10.1016\/j.conbuildmat.2019.04.202","volume":"215","author":"J Zhang","year":"2019","unstructured":"Zhang J, Sun H, Jiang H, Xu X, Liang M, Hou Y et al (2019) Experimental assessment of reclaimed bitumen and RAP asphalt mixtures incorporating a developed rejuvenator. Constr Build Mater 215:660\u2013669. https:\/\/doi.org\/10.1016\/j.conbuildmat.2019.04.202","journal-title":"Constr Build Mater"},{"key":"10553_CR27","doi-asserted-by":"publisher","first-page":"01964","DOI":"10.1016\/j.cscm.2023.e01964","volume":"18","author":"Bo Li","year":"2023","unstructured":"Li Bo, Liu W, Nan X, Yang J, Chongzhi Tu, Zhou Lu (2023) Development of rejuvenator using waste vegetable oil and its influence on pavement performance of asphalt binder under ultraviolet aging. Case Stud Constr Mater 18:01964. https:\/\/doi.org\/10.1016\/j.cscm.2023.e01964","journal-title":"Case Stud Constr Mater"},{"key":"10553_CR28","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.conbuildmat.2019.06.181","volume":"224","author":"H Ziari","year":"2019","unstructured":"Ziari H, Moniri A, Bahri P, Saghafi Y (2019) The effect of rejuvenators on the aging resistance of recycled asphalt mixtures. Constr Build Mater 224:89\u201398. https:\/\/doi.org\/10.1016\/j.conbuildmat.2019.06.181","journal-title":"Constr Build Mater"},{"issue":"23","key":"10553_CR29","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1080\/10916466.2018.1550505","volume":"37","author":"H Ziari","year":"2019","unstructured":"Ziari H, Moniri A, Bahri P, Saghafi Y (2019) Evaluation of performance properties of 50% recycled asphalt mixtures using three types of rejuvenators. Pet Sci Technol 37(23):235","journal-title":"Pet Sci Technol"},{"issue":"22","key":"10553_CR30","doi-asserted-by":"publisher","first-page":"3485","DOI":"10.3923\/jas.2007.3485.3491","volume":"7","author":"MN Borhan","year":"2007","unstructured":"Borhan MN, Suja E, Ismail A, Rahmat RAO (2007) Used cylinder oil modified coldmix asphalt concrete. J Appl Sci 7(22):3485\u20133491","journal-title":"J Appl Sci"},{"issue":"2","key":"10553_CR31","first-page":"145","volume":"7","author":"CD DeDene","year":"2014","unstructured":"DeDene CD, You Z-P (2014) The performance of aged asphalt materials rejuvenated with waste engine oil. Int J Pavement Res Technol 7(2):145\u2013152","journal-title":"Int J Pavement Res Technol"},{"key":"10553_CR32","unstructured":"Tran NH, Taylor A, Willis R (2012) Effect of rejuvenator on performance properties of HMA mixtures with high RAP and RAS contents. NCAT Report, 12\u201305"},{"key":"10553_CR33","volume-title":"Hot mix asphalt materials, mixture design, and construction","author":"ER Brown","year":"2009","unstructured":"Brown ER, Kandhal PS, Roberts FL, Kim YR, Lee D-Y, Kennedy TW (2009) Hot mix asphalt materials, mixture design, and construction, 3rd edn. NAPA research and education foundation, Lanham","edition":"3"},{"key":"10553_CR34","doi-asserted-by":"publisher","first-page":"1210","DOI":"10.1016\/j.conbuildmat.2018.10.126","volume":"191","author":"S Liu","year":"2018","unstructured":"Liu S, Peng A, Wu J, Zhou SB (2018) Waste engine oil influences on chemical and rheological properties of different asphalt binders. Constr Build Mater 191:1210\u20131220. https:\/\/doi.org\/10.1016\/j.conbuildmat.2018.10.126","journal-title":"Constr Build Mater"},{"issue":"8","key":"10553_CR35","doi-asserted-by":"publisher","first-page":"794","DOI":"10.3390\/app7080794","volume":"7","author":"S Fernandes","year":"2017","unstructured":"Fernandes S, Peralta J, Oliveira JR, Williams RC, Silva HM (2017) Improving asphalt mixture performance by partially replacing bitumen with waste motor oil and elastomer modifiers. Appl Sci 7(8):794","journal-title":"Appl Sci"},{"key":"10553_CR36","doi-asserted-by":"publisher","first-page":"992","DOI":"10.1016\/j.jclepro.2018.01.237","volume":"182","author":"IA Qurashi","year":"2018","unstructured":"Qurashi IA, Swamy AK (2018) Viscoelastic properties of recycled asphalt binder containing waste engine oil. J Clean Prod 182:992\u20131000","journal-title":"J Clean Prod"},{"key":"10553_CR37","doi-asserted-by":"crossref","unstructured":"Wang F, Fang Y, Chen Z, Wei H (2018) Effect of waste engine oil on asphalt reclaimed properties. In: Proceedings of AIP conference proceedings, vol 1973, Melville","DOI":"10.1063\/1.5041396"},{"key":"10553_CR38","unstructured":"You T, Balamurugan SS, Nazzal MD, Mohammad LN, Negulescua I, Daly WH (2018) Rheological, chemical, micromechanical, and mechanical properties of re-refined engine oil bottoms (REOB) modified binders. Technical Report."},{"issue":"2\u20133","key":"10553_CR39","doi-asserted-by":"publisher","first-page":"835","DOI":"10.1016\/j.jhazmat.2008.04.028","volume":"161","author":"JC Ssempebwa","year":"2009","unstructured":"Ssempebwa JC, Carpenter DO (2009) The generation, use and disposal of waste crankcase oil in developing countries: a case for Kampala district. Uganda J Hazard Mater 161(2\u20133):835\u2013841","journal-title":"Uganda J Hazard Mater"},{"issue":"2","key":"10553_CR40","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1139\/L07-092","volume":"35","author":"A Villanueva","year":"2008","unstructured":"Villanueva A, Ho S, Zanzotto L (2008) Asphalt modification with used lubricating oil. Can J Civ Eng 35(2):148\u2013157","journal-title":"Can J Civ Eng"},{"issue":"12","key":"10553_CR41","doi-asserted-by":"publisher","first-page":"04015042","DOI":"10.1061\/(ASCE)MT.1943-5533.0001292","volume":"27","author":"X Jia","year":"2015","unstructured":"Jia X, Huang B, Moore JA, Zhao S (2015) Influence of waste engine oil on asphalt mixtures containing reclaimed asphalt pavement. J Mater Civ Eng 27(12):04015042","journal-title":"J Mater Civ Eng"},{"key":"10553_CR42","doi-asserted-by":"publisher","first-page":"538","DOI":"10.1016\/j.conbuildmat.2014.08.073","volume":"71","author":"M Zaumanis","year":"2014","unstructured":"Zaumanis M, Mallick RB, Poulikakos L, Frank R (2014) Influence of six rejuvenators on the performance properties of reclaimed asphalt pavement (RAP) binder and 100% recycled asphalt mixtures. Constr Build Mater 71:538\u2013550","journal-title":"Constr Build Mater"},{"issue":"6","key":"10553_CR43","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1080\/10916466.2018.1430157","volume":"36","author":"S Liu","year":"2018","unstructured":"Liu S, Meng H, Xu Y, Zhou S (2018) Evaluation of rheological characteristics of asphalt modified with waste engine oil (WEO). Pet Sci Technol 36(6):475\u2013480","journal-title":"Pet Sci Technol"},{"key":"10553_CR44","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.conbuildmat.2018.04.056","volume":"174","author":"Y Qiu","year":"2018","unstructured":"Qiu Y, Ding H, Rahman A, Wang W (2018) Damage characteristics of waste engine oil bottom rejuvenated asphalt binder in the non-linear range and its microstructure. Constr Build Mater 174:202\u2013209","journal-title":"Constr Build Mater"},{"key":"10553_CR45","doi-asserted-by":"publisher","first-page":"714","DOI":"10.1016\/j.conbuildmat.2017.11.112","volume":"160","author":"SR Fernandes","year":"2018","unstructured":"Fernandes SR, Silva HM, Oliveira JR (2018) Developing enhanced modified bitumens with waste engine oil products combined with polymers. Constr Build Mater 160:714\u2013724","journal-title":"Constr Build Mater"},{"key":"10553_CR46","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2020.123304","volume":"278","author":"M Zahoor","year":"2021","unstructured":"Zahoor M, Nizamuddin S, Madapusi S, Giustozzi F (2021) Sustainable asphalt rejuvenation using waste cooking oil: a comprehensive review. J Clean Prod 278:123304","journal-title":"J Clean Prod"},{"key":"10553_CR47","unstructured":"Bailey HK, Phillips P (2010) Asphalt rejuvenation. U.S. Patent App 12\/461,234"},{"issue":"5","key":"10553_CR48","doi-asserted-by":"publisher","first-page":"1238","DOI":"10.1080\/14680629.2018.1546220","volume":"21","author":"H Taherkhani","year":"2020","unstructured":"Taherkhani H, Noorian F (2020) Comparing the effects of waste engine and cooking oil on the properties of asphalt concrete containing reclaimed asphalt pavement (RAP). Road Mater Pavement Des 21(5):1238\u20131257","journal-title":"Road Mater Pavement Des"},{"key":"10553_CR49","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.conbuildmat.2019.05.180","volume":"220","author":"AM El-Shorbagy","year":"2019","unstructured":"El-Shorbagy AM, El-Badawy SM, Gabr AR (2019) Investigation of waste oils as rejuvenators of aged bitumen for sustainable pavement. Constr Build Mater 220:228\u2013237","journal-title":"Constr Build Mater"},{"key":"10553_CR50","doi-asserted-by":"publisher","first-page":"488","DOI":"10.1016\/j.conbuildmat.2014.11.041","volume":"75","author":"HF Haghshenas","year":"2015","unstructured":"Haghshenas HF, Khodaii A, Khedmati M, Tapkin S (2015) A mathematical model for predicting stripping potential of hot mix asphalt. Constr Build Mater 75:488\u2013495","journal-title":"Constr Build Mater"},{"issue":"8","key":"10553_CR51","doi-asserted-by":"publisher","first-page":"682","DOI":"10.1080\/10298436.2015.1121779","volume":"18","author":"MO Hamzah","year":"2017","unstructured":"Hamzah MO, Gungat L, Golchin B (2017) Estimation of optimum binder content of recycled asphalt incorporating a wax warm additive using response surface method. Int J Pavement Eng 18(8):682\u2013692","journal-title":"Int J Pavement Eng"},{"key":"10553_CR52","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.conbuildmat.2015.12.073","volume":"104","author":"AI Nassar","year":"2016","unstructured":"Nassar AI, Thom N, Parry T (2016) Optimizing the mix design of cold bitumen emulsion mixtures using response surface methodology. Constr Build Mater 104:216\u2013229","journal-title":"Constr Build Mater"},{"issue":"7","key":"10553_CR53","doi-asserted-by":"publisher","first-page":"1436","DOI":"10.1016\/j.conbuildmat.2007.01.031","volume":"22","author":"TS Ozsahin","year":"2008","unstructured":"Ozsahin TS, Oruc S (2008) Neural network model for resilient modulus of emulsified asphalt mixtures. Constr Build Mater 22(7):1436\u20131445","journal-title":"Constr Build Mater"},{"key":"10553_CR54","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1520\/JTE101834","volume":"37","author":"F Xiao","year":"2008","unstructured":"Xiao F, Amirkhanian SN (2008) Effects of binders on resilient modulus of rubberized mixtures containing RAP using artificial neural network approach. J Test Eval 37:129\u2013138","journal-title":"J Test Eval"},{"key":"10553_CR55","doi-asserted-by":"publisher","first-page":"17289","DOI":"10.1007\/s00521-022-07382-3","volume":"34","author":"D Rezazadeh Eidgahee","year":"2022","unstructured":"Rezazadeh Eidgahee D, Jahangir H, Solatifar N et al (2022) Data-driven estimation models of asphalt mixtures dynamic modulus using ANN, GP and combinatorial GMDH approaches. Neural Comput Appl 34:17289\u201317314. https:\/\/doi.org\/10.1007\/s00521-022-07382-3","journal-title":"Neural Comput Appl"},{"key":"10553_CR56","doi-asserted-by":"publisher","first-page":"2379","DOI":"10.3390\/app12052379","volume":"12","author":"MK Islam","year":"2022","unstructured":"Islam MK, Gazder U, Alam MS, Shalabi FI, Arifuzzaman M (2022) Behavioral investigation of single wall and double wall CNT mixed asphalt adhesion force using chemical force microscopy and artificial neural networks. Appl Sci 12:2379","journal-title":"Appl Sci"},{"key":"10553_CR57","doi-asserted-by":"crossref","unstructured":"Kezhen Y, Yin H, Liao H, Huang L (2011) Prediction of resilient modulus of asphalt pavement material using support vector machine. Road Pavement Mater Charact Model Maint pp 16\u201323.","DOI":"10.1061\/47624(403)3"},{"key":"10553_CR58","doi-asserted-by":"publisher","first-page":"1989","DOI":"10.1002\/nag.718","volume":"32","author":"M Maalouf","year":"2008","unstructured":"Maalouf M, Khoury N, Trafalis T (2008) Support vector regression to predict asphalt mix performance. Int J Numer Anal Method Geomech 32:1989\u20131996","journal-title":"Int J Numer Anal Method Geomech"},{"key":"10553_CR59","doi-asserted-by":"publisher","first-page":"6261","DOI":"10.1007\/s00521-018-3426-0","volume":"31","author":"MY Cheng","year":"2019","unstructured":"Cheng MY, Prayogo D, Wu YW (2019) Prediction of permanent deformation in asphalt pavements using a novel symbiotic organisms search\u2013least squares support vector regression. Neural Comput Appl 31:6261\u20136273. https:\/\/doi.org\/10.1007\/s00521-018-3426-0","journal-title":"Neural Comput Appl"},{"key":"10553_CR60","doi-asserted-by":"publisher","first-page":"14913","DOI":"10.1007\/s00521-022-07305-2","volume":"34","author":"Y Deng","year":"2022","unstructured":"Deng Y, Shi X (2022) Development of predictive models of asphalt pavement distresses in Idaho through gene expression programming. Neural Comput Appl 34:14913\u201314927. https:\/\/doi.org\/10.1007\/s00521-022-07305-2","journal-title":"Neural Comput Appl"},{"key":"10553_CR61","doi-asserted-by":"publisher","first-page":"3043","DOI":"10.1016\/j.scitotenv.2018.10.193","volume":"651","author":"Z Shang","year":"2019","unstructured":"Shang Z, Deng T, He J, Duan X (2019) A novel model for hourly PM2. 5 concentration prediction based on CART and EELM. Sci Total Environ 651:3043\u20133052","journal-title":"Sci Total Environ"},{"key":"10553_CR62","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2020.107312","volume":"206","author":"A Antoniadis","year":"2021","unstructured":"Antoniadis A, Lambert-Lacroix S, Poggi JM (2021) Random forests for global sensitivity analysis: a selective review. Reliab Eng Syst Saf 206:107312","journal-title":"Reliab Eng Syst Saf"},{"key":"10553_CR63","doi-asserted-by":"publisher","first-page":"107869","DOI":"10.1016\/j.ecolind.2021.107869","volume":"129","author":"M Mohajane","year":"2021","unstructured":"Mohajane M, Costache R, Karimi F, Pham QB, Essahlaoui A, Nguyen H, Oudija F (2021) Application of remote sensing and machine learning algorithms for forest fire mapping in a mediterranean area. Ecol Indic 129:107869","journal-title":"Ecol Indic"},{"key":"10553_CR64","doi-asserted-by":"publisher","DOI":"10.1016\/j.array.2023.100303","volume":"19","author":"A Malik","year":"2023","unstructured":"Malik A, Onyema EM, Dalal S, Lilhore UK, Anand D, Sharma A, Simaiya S (2023) Forecasting students\u2019 adaptability in online entrepreneurship education using modified ensemble machine learning model. Array 19:100303","journal-title":"Array"},{"issue":"3","key":"10553_CR65","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1111\/insr.12016","volume":"82","author":"WY Loh","year":"2014","unstructured":"Loh WY (2014) Fifty years of classification and regression trees. Int Stat Rev 82(3):329\u2013348","journal-title":"Int Stat Rev"},{"key":"10553_CR66","volume-title":"Encyclopedia of ecology","author":"GG Moisen","year":"2008","unstructured":"Moisen GG (2008) Classification and regression trees. In: J\u00f8rgensen SE, Fath BD (eds) Encyclopedia of ecology. Elsevier, Oxford"},{"key":"10553_CR67","doi-asserted-by":"crossref","unstructured":"Steinberg D (2009) CART: Classification and regression trees. In: the top ten algorithms in data mining; Chapman and Hall\/CRC, pp 193\u2013216.","DOI":"10.1201\/9781420089653-17"},{"key":"10553_CR68","first-page":"1","volume-title":"Classification and regression trees (CART) theory and applications","author":"R Timofeev","year":"2004","unstructured":"Timofeev R (2004) Classification and regression trees (CART) theory and applications. Humboldt University, Berlin, pp 1\u201340"},{"key":"10553_CR69","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1037\/a0016973","volume":"14","author":"C Strobl","year":"2009","unstructured":"Strobl C, Malley J, Tutz G (2009) An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests. Psychol Methods 14:323","journal-title":"Psychol Methods"},{"key":"10553_CR70","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511973000","volume-title":"Machine learning: the art and science of algorithms that make sense of data","author":"P Flach","year":"2012","unstructured":"Flach P (2012) Machine learning: the art and science of algorithms that make sense of data. Cambridge University Press, Cambridge"},{"key":"10553_CR71","doi-asserted-by":"publisher","first-page":"890","DOI":"10.1016\/j.conbuildmat.2018.09.017","volume":"189","author":"H Gong","year":"2018","unstructured":"Gong H, Sun Y, Shu X, Huang B (2018) Use of random forests regression for predicting IRI of asphalt pavements. Constr Build Mater 189:890\u2013897","journal-title":"Constr Build Mater"},{"key":"10553_CR72","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.cstp.2015.11.002","volume":"4","author":"K Shaaban","year":"2016","unstructured":"Shaaban K, Pande A (2016) Classification tree analysis of factors affecting parking choices in Qatar. Case Stud Transp Policy 4:88\u201395","journal-title":"Case Stud Transp Policy"},{"key":"10553_CR73","doi-asserted-by":"publisher","first-page":"04015017","DOI":"10.1061\/(ASCE)TE.1943-5436.0000786","volume":"141","author":"Q Dong","year":"2015","unstructured":"Dong Q, Dong C, Huang B (2015) Statistical analyses of field serviceability of throw-and-roll pothole patches. J Transp Eng 141:04015017","journal-title":"J Transp Eng"},{"key":"10553_CR74","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.jenvman.2011.09.021","volume":"95","author":"M Kayhanian","year":"2012","unstructured":"Kayhanian M, Anderson D, Harvey JT, Jones D, Muhunthan B (2012) Permeability measurement and scan imaging to assess clogging of pervious concrete pavements in parking lots. J Environ Manag 95:114\u2013123","journal-title":"J Environ Manag"},{"key":"10553_CR75","unstructured":"Wang X, Montgomery DC, Owusu-Antwi EB (2003) Application of regression trees to LTPP data analysis. In: International conference on highway pavement data, analysis and mechanistic design applications, Columbus"},{"key":"10553_CR76","first-page":"979","volume":"5","author":"D Kaur","year":"2008","unstructured":"Kaur D, Pulugurta H (2008) Comparative analysis of fuzzy decision tree and logistic regression methods for pavement treatment prediction. WSEAS Trans Inf Sci Appl 5:979\u2013990","journal-title":"WSEAS Trans Inf Sci Appl"},{"key":"10553_CR77","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/s12205-010-0123-7","volume":"14","author":"M Kang","year":"2010","unstructured":"Kang M, Kim M, Lee JH (2010) Analysis of rigid pavement distresses on interstate highway using decision tree algorithms. KSCE J Civ Eng 14:123\u2013130","journal-title":"KSCE J Civ Eng"},{"key":"10553_CR78","doi-asserted-by":"publisher","first-page":"807","DOI":"10.3390\/ma16020807","volume":"16","author":"N Tiwari","year":"2023","unstructured":"Tiwari N, Rondinella F, Satyam N, Baldo N (2023) Alternative fillers in asphalt concrete mixtures: laboratory investigation and machine learning modeling towards mechanical performance prediction. Materials 16:807. https:\/\/doi.org\/10.3390\/ma16020807","journal-title":"Materials"},{"key":"10553_CR79","doi-asserted-by":"publisher","first-page":"131116","DOI":"10.1016\/j.conbuildmat.2023.131116","volume":"377","author":"HL Nguyen","year":"2023","unstructured":"Nguyen HL, Tran VQ (2023) Data-driven approach for investigating and predicting rutting depth of asphalt concrete containing reclaimed asphalt pavement. Constr Build Mater 377:131116. https:\/\/doi.org\/10.1016\/j.conbuildmat.2023.131116","journal-title":"Constr Build Mater"},{"key":"10553_CR80","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1007\/s12665-018-7498-z","volume":"77","author":"B Choubin","year":"2018","unstructured":"Choubin B, Zehtabian G, Azareh A, Rafiei-Sardooi E, Sajedi-Hosseini F, Ki\u015fi \u00d6 (2018) Precipitation forecasting using classification and regression trees (CART) model: a comparative study of different approaches. Environ Earth Sci 77:314","journal-title":"Environ Earth Sci"},{"key":"10553_CR81","doi-asserted-by":"publisher","DOI":"10.1080\/10298436.2018.1539486","author":"AA Mamun","year":"2018","unstructured":"Mamun AA, Al-Abdul Wahhab HI (2018) Comparative laboratory evaluation of waste cooking oil rejuvenated asphalt concrete mixtures for high contents of reclaimed asphalt pavement. Int J Pavement Eng. https:\/\/doi.org\/10.1080\/10298436.2018.1539486","journal-title":"Int J Pavement Eng"},{"key":"10553_CR82","unstructured":"Zofka A et al (2004) Development of simple asphalt test for determination of RAP blending charts"},{"key":"10553_CR83","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1177\/0361198105192900104","volume":"1929","author":"J Daniel","year":"2005","unstructured":"Daniel J, Lachance A (2005) Mechanistic and volumetric properties of asphalt mixtures with recycled asphalt pavement. Transp Res Rec: J Transp Res Board 1929:28\u201336","journal-title":"Transp Res Rec: J Transp Res Board"},{"key":"10553_CR84","first-page":"1555","volume":"8","author":"AM Putri","year":"2010","unstructured":"Putri AM, Suparma LB (2010) Laboratory study on the durability characteristics (moisture damage evaluation) of asphalt concrete wearing course (AC-WC) utilizing bantak and clereng as aggregate (using Marshall methods). J Easter As Soc Transp Stud 8:1555\u20131567","journal-title":"J Easter As Soc Transp Stud"},{"key":"10553_CR85","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/981637","volume":"2013","author":"NS Mashaan","year":"2013","unstructured":"Mashaan NS, Karim MR (2013) Evaluation of permanent deformation of CRM-reinforced SMA and its correlation with dynamic stiffness and dynamic creep. Sci World J 2013:981637","journal-title":"Sci World J"},{"key":"10553_CR86","unstructured":"Sondag MS, Chadbourn BA, Drescher A (2002) Investigation of recycled asphalt pavement (RAP) mixtures"},{"key":"10553_CR87","first-page":"43","volume":"84","author":"M Sabouri","year":"2015","unstructured":"Sabouri M, Bennert T, Daniel JS, Kim YR (2015) A comprehensive evaluation of the fatigue behavior of plant-produced RAP mixtures. J Assoc Asphalt Paving Technol 84:43\u201378","journal-title":"J Assoc Asphalt Paving Technol"},{"key":"10553_CR88","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2018\/7386256","volume":"2018","author":"AA Mamun","year":"2018","unstructured":"Mamun AA, Al-Abdul Wahhab H (2018) Evaluation of waste engine oil-rejuvenated asphalt concrete mixtures with high RAP content. Adv Mater Sci Eng 2018:1\u20138","journal-title":"Adv Mater Sci Eng"},{"key":"10553_CR89","doi-asserted-by":"publisher","first-page":"1297","DOI":"10.1007\/s13369-020-04523-5","volume":"45","author":"AA Mamun","year":"2020","unstructured":"Mamun AA, Al-Abdul Wahhab H, Dalhat MA (2020) Comparative laboratory evaluation of waste cooking oil rejuvenated asphalt concrete mixtures for high contents of reclaimed asphalt pavement. Arab J Sci Eng 45:1297\u20131308","journal-title":"Arab J Sci Eng"},{"key":"10553_CR90","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s13369-020-04523-5","volume":"45","author":"A Al Mamun","year":"2020","unstructured":"Al Mamun A, Al-Abdul Wahhab H, Dalhat MA (2020) Comparative evaluation of waste cooking oil and waste engine oil rejuvenated asphalt concrete mixtures. Arab J Sci Eng 45:1\u201316","journal-title":"Arab J Sci Eng"},{"key":"10553_CR91","doi-asserted-by":"publisher","first-page":"6664","DOI":"10.3390\/app13116664","volume":"13","author":"N Tiwari","year":"2023","unstructured":"Tiwari N, Rondinella F, Satyam N, Baldo N (2023) Experimental and machine learning approach to investigate the mechanical performance of asphalt mixtures with silica fume filler. Appl Sci 13:6664. https:\/\/doi.org\/10.3390\/app13116664","journal-title":"Appl Sci"},{"key":"10553_CR92","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2022.133587","volume":"370","author":"LS Ho","year":"2022","unstructured":"Ho LS, Tran VQ (2022) Machine learning approach for predicting and evaluating California bearing ratio of stabilized soil containing industrial waste. J Clean Prod 370:133587. https:\/\/doi.org\/10.1016\/j.jclepro.2022.133587","journal-title":"J Clean Prod"},{"key":"10553_CR93","doi-asserted-by":"crossref","unstructured":"Benesty J, Chen J, Huang Y, Cohen I (2009) Pearson correlation coefficient. In: Noise reduction in speech processing. Springer","DOI":"10.1007\/978-3-642-00296-0"},{"key":"10553_CR94","doi-asserted-by":"publisher","first-page":"1247","DOI":"10.5194\/gmd-7-1247-2014","volume":"7","author":"T Chai","year":"2014","unstructured":"Chai T, Draxler RR (2014) Root mean square error (RMSE) or mean absolute error (MAE)? \u2013 arguments against avoiding RMSE in the literature. Geosci Model Dev 7:1247\u20131250","journal-title":"Geosci Model Dev"},{"issue":"1","key":"10553_CR95","first-page":"132","volume":"6","author":"A Mansourian","year":"2018","unstructured":"Mansourian A, Ghanizadeh AR, Golchin B (2018) Modeling of resilient modulus of asphalt concrete containing reclaimed asphalt pavement using feed-forward and generalized regression neural networks. J Rehabilit Civ Eng 6(1):132\u2013147","journal-title":"J Rehabilit Civ Eng"},{"key":"10553_CR96","first-page":"1","volume":"2","author":"T Gandhi","year":"2009","unstructured":"Gandhi T, Xiao F, Amirkhanian SN (2009) Estimating indirect tensile strength of mixtures containing anti-stripping agents using an artificial neural network approach. Int J Pavement Res Technol 2:1","journal-title":"Int J Pavement Res Technol"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-024-10553-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-024-10553-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-024-10553-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T07:21:14Z","timestamp":1738826474000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-024-10553-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,26]]},"references-count":96,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,2]]}},"alternative-id":["10553"],"URL":"https:\/\/doi.org\/10.1007\/s00521-024-10553-z","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2024,12,26]]},"assertion":[{"value":"31 August 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 October 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 December 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors would like to declare that there is no conflict of interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Institutional review board statement"}}]}}