{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T21:49:55Z","timestamp":1775166595111,"version":"3.50.1"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"18","license":[{"start":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T00:00:00Z","timestamp":1650844800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T00:00:00Z","timestamp":1650844800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1007\/s00521-022-07205-5","type":"journal-article","created":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T09:16:36Z","timestamp":1650878196000},"page":"15575-15588","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A meta-heuristic-based energy efficient route modeling for EV on non-identical road surfaces"],"prefix":"10.1007","volume":"34","author":[{"given":"Ashwani","family":"Kumar","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0271-2373","authenticated-orcid":false,"given":"Ravinder","family":"Kumar","sequence":"additional","affiliation":[]},{"given":"Ashutosh","family":"Aggarwal","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,4,25]]},"reference":[{"key":"7205_CR1","unstructured":"EEA. (2020) Ghg emissions from transport in Europe. Available:https:\/\/www.eea.europa.eu\/. Accessed June, 2020"},{"key":"7205_CR2","unstructured":"EPA. (2020) Carbon pollution from transportation. Available:https:\/\/www.epa.gov\/. Accessed June, 2020"},{"key":"7205_CR3","doi-asserted-by":"publisher","first-page":"702","DOI":"10.4271\/2014-01-1815","volume":"39","author":"W Feng","year":"2012","unstructured":"Feng W, Figliozzi MA (2012) Conventional vs electric commercial vehicle fleets: a case study of economic and technological factors affecting the competitiveness of electric commercial vehicles in the USA. Procedia Soc Behav Sci 39:702. https:\/\/doi.org\/10.4271\/2014-01-1815","journal-title":"Procedia Soc Behav Sci"},{"key":"7205_CR4","unstructured":"IEA (2019) Global ev outlook 2019. Available:https:\/\/www.iea.org\/ (2019). Accessed June, 2020"},{"key":"7205_CR5","unstructured":"BloombergNEF. Ev outlook 2020. Available:https:\/\/about.bnef.com\/electric-vehicle-outlook\/ (2020). Accessed June, 2020"},{"key":"7205_CR6","unstructured":"Suizo G (2020) Large and recharged- top electric fleets. Available:https:\/\/www.greenfleetmagazine.com\/155563\/large-recharged-top-electric-fleets (2013). Accessed June, 2020"},{"key":"7205_CR7","doi-asserted-by":"publisher","first-page":"111","DOI":"10.4271\/2014-01-1815","volume":"71","author":"\u00c1 Felipe","year":"2014","unstructured":"Felipe \u00c1, Ortu\u00f1o MT, Righini G, Tirado G (2014) A heuristic approach for the green vehicle routing problem with multiple technologies and partial recharges. Trans Res Part E: Logistics Trans Rev 71:111. https:\/\/doi.org\/10.4271\/2014-01-1815","journal-title":"Trans Res Part E: Logistics Trans Rev"},{"key":"7205_CR8","unstructured":"Naik AR (2020)The math behind india\u2019s electric vehicle charging infrastructure. Available:https:\/\/inc42.com\/ . Accessed June, 2020"},{"key":"7205_CR9","doi-asserted-by":"publisher","first-page":"452","DOI":"10.4271\/2014-01-1815","volume":"3","author":"A Afroditi","year":"2014","unstructured":"Afroditi A, Boile M, Theofanis S, Sdoukopoulos E, Margaritis D (2014) Electric vehicle routing problem with industry constraints: trends and insights for future research. Transp Res Proc 3:452. https:\/\/doi.org\/10.4271\/2014-01-1815","journal-title":"Transp Res Proc"},{"key":"7205_CR10","doi-asserted-by":"publisher","unstructured":"Artmeier A, Haselmayr J, Leucker M, Sachenbacher M (2010) The shortest path problem revisited: Optimal routing for electric vehicles. InAnnual conference on artificial intelligence 2010 (pp 309-316). Springer, Berlin, Heidelberg. https:\/\/doi.org\/10.1007\/978-3-642-16111-7_35","DOI":"10.1007\/978-3-642-16111-7_35"},{"key":"7205_CR11","doi-asserted-by":"publisher","unstructured":"Eisner J, Funke S, Storandt S, Optimal route planning for electric vehicles in large networks, In: Proceedings of the aaai conference on artificial intelligence, vol.\u00a025 (2011), vol.\u00a025. https:\/\/doi.org\/10.4271\/2014-01-1815","DOI":"10.4271\/2014-01-1815"},{"key":"7205_CR12","doi-asserted-by":"publisher","unstructured":"Sachenbacher M, Leucker M, Artmeier A, Haselmayr J (2011) Efficient energy-optimal routing for electric vehicles, In: Proceedings of the AAAI conference on artificial intelligence, vol.\u00a025 (2011), vol.\u00a025. https:\/\/doi.org\/10.5555\/2900423.2900645","DOI":"10.5555\/2900423.2900645"},{"key":"7205_CR13","doi-asserted-by":"publisher","DOI":"10.4271\/2014-01-1815","author":"R Abousleiman","year":"2014","unstructured":"Abousleiman R, Rawashdeh O (2014) Energy efficient routing for electric vehicles using particle swarm optimization, Energy efficient routing for electric vehicles using particle swarm optimization. Tech rep SAE Tech Paper. https:\/\/doi.org\/10.4271\/2014-01-1815","journal-title":"Tech rep SAE Tech Paper"},{"issue":"2","key":"7205_CR14","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1049\/iet-its.2014.0177","volume":"10","author":"R Abousleiman","year":"2016","unstructured":"Abousleiman R, Rawashdeh O (2016) Electric vehicle modelling and energy-efficient routing using particle swarm optimisation. IET Intel Transport Syst 10(2):65. https:\/\/doi.org\/10.1049\/iet-its.2014.0177","journal-title":"IET Intel Transport Syst"},{"issue":"1","key":"7205_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4271\/2017-01-9075","volume":"6","author":"R Abousleiman","year":"2017","unstructured":"Abousleiman R, Rawashdeh O, Boimer R (2017) Electric vehicles energy efficient routing using ant colony optimization. SAE Int J Alter Powertrains 6(1):1. https:\/\/doi.org\/10.4271\/2017-01-9075","journal-title":"SAE Int J Alter Powertrains"},{"issue":"4","key":"7205_CR16","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1109\/TIV.2017.2771233","volume":"2","author":"AM Bozorgi","year":"2017","unstructured":"Bozorgi AM, Farasat M, Mahmoud A (2017) A time and energy efficient routing algorithm for electric vehicles based on historical driving data. IEEE Trans Intel Vehicles 2(4):308. https:\/\/doi.org\/10.1109\/TIV.2017.2771233","journal-title":"IEEE Trans Intel Vehicles"},{"key":"7205_CR17","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1016\/j.ijpe.2018.07.016","volume":"203","author":"S Zhang","year":"2018","unstructured":"Zhang S, Gajpal Y, Appadoo S, Abdulkader M (2018) Electric vehicle routing problem with recharging stations for minimizing energy consumption. Int J Prod Econ 203:404. https:\/\/doi.org\/10.1016\/j.ijpe.2018.07.016","journal-title":"Int J Prod Econ"},{"issue":"11","key":"7205_CR18","doi-asserted-by":"publisher","first-page":"1528","DOI":"10.1177\/0954407017729938","volume":"232","author":"J Wang","year":"2018","unstructured":"Wang J, Besselink I, Nijmeijer H (2018) Battery electric vehicle energy consumption prediction for a trip based on route information. Proc Inst Mech Eng, Part D: J Automobile Eng 232(11):1528. https:\/\/doi.org\/10.1177\/0954407017729938","journal-title":"Proc Inst Mech Eng, Part D: J Automobile Eng"},{"key":"7205_CR19","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/2607402","author":"W Zhou","year":"2019","unstructured":"Zhou W, Wang L (2019) The Energy-Efficient Dynamic Route Planning for Electric Vehicles. J Adv Trans. https:\/\/doi.org\/10.1155\/2019\/2607402","journal-title":"J Adv Trans"},{"issue":"3","key":"7205_CR20","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1016\/j.ejor.2019.01.067","volume":"276","author":"G Macrina","year":"2019","unstructured":"Macrina G, Laporte G, Guerriero F, Pugliese LDP (2019) An energy-efficient green-vehicle routing problem with mixed vehicle fleet, partial battery recharging and time windows. Eur J Oper Res 276(3):971. https:\/\/doi.org\/10.1016\/j.ejor.2019.01.067","journal-title":"Eur J Oper Res"},{"issue":"7","key":"7205_CR21","doi-asserted-by":"publisher","first-page":"2787","DOI":"10.1109\/TITS.2019.2918019","volume":"21","author":"C De Cauwer","year":"2020","unstructured":"De Cauwer C, Verbeke W, Van Mierlo J, Coosemans T (2020) A model for range estimation and energy-efficient routing of electric vehicles in real-world conditions. IEEE Trans Intell Transp Syst 21(7):2787. https:\/\/doi.org\/10.1109\/TITS.2019.2918019","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"7205_CR22","doi-asserted-by":"publisher","DOI":"10.4271\/2013-01-0337","author":"R Abousleiman","year":"2013","unstructured":"Abousleiman R, Rawashdeh O (2013) An application of ant colony optimization to energy efficient routing for electric vehicles. Tech rep SAE Tech Paper. https:\/\/doi.org\/10.4271\/2013-01-0337","journal-title":"Tech rep SAE Tech Paper"},{"issue":"3","key":"7205_CR23","doi-asserted-by":"publisher","first-page":"756","DOI":"10.1002\/spe.2838","volume":"52","author":"Z Gu","year":"2022","unstructured":"Gu Z, Zhu Y, Wang Y, Du X, Guizani M, Tian Z (2022) Applying artificial bee colony algorithm to the multidepot vehicle routing problem. Software: Practice Exp 52(3):756\u201371. https:\/\/doi.org\/10.1002\/spe.2838","journal-title":"Software: Practice Exp"},{"key":"7205_CR24","first-page":"317","volume-title":"Artificial intelligence and knowledge engineering applications: a bioinspired approach","author":"XS Yang","year":"2005","unstructured":"Yang XS (2005) Engineering optimizations via nature-inspired virtual bee algorithms. In: Mira J, \u00c1lvarez JR (eds) Artificial intelligence and knowledge engineering applications: a bioinspired approach. Springer, Berlin Heidelberg, Berlin, pp 317\u2013323"},{"issue":"1","key":"7205_CR25","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1016\/j.petrol.2011.05.006","volume":"78","author":"R Irani","year":"2011","unstructured":"Irani R, Nasimi R (2011) Application of artificial bee colony-based neural network in bottom hole pressure prediction in underbalanced drilling. J Petrol Sci Eng 78(1):6. https:\/\/doi.org\/10.1016\/j.petrol.2011.05.006","journal-title":"J Petrol Sci Eng"},{"issue":"5","key":"7205_CR26","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1016\/j.ijprt.2018.04.001","volume":"11","author":"TR Panda","year":"2018","unstructured":"Panda TR, Swamy AK (2018) An improved artificial bee colony algorithm for pavement resurfacing problem. Int J Pave Res Technol 11(5):509. https:\/\/doi.org\/10.1016\/j.ijprt.2018.04.001","journal-title":"Int J Pave Res Technol"},{"issue":"12","key":"7205_CR27","doi-asserted-by":"publisher","first-page":"2489","DOI":"10.1007\/s00500-011-0711-6","volume":"15","author":"A Singh","year":"2011","unstructured":"Singh A, Sundar S (2011) An artificial bee colony algorithm for the minimum routing cost spanning tree problem. Soft Comput 15(12):2489. https:\/\/doi.org\/10.1007\/s00500-011-0711-6","journal-title":"Soft Comput"},{"key":"7205_CR28","doi-asserted-by":"crossref","unstructured":"Emadi A (2014) Advanced electric drive vehicles (CRC Press)","DOI":"10.1201\/9781315215570"},{"key":"7205_CR29","unstructured":"Nissan (2017) Ev parameters. Available:http:\/\/www.nissan.co.uk\/ . Accessed June, 2020"},{"issue":"12","key":"7205_CR30","doi-asserted-by":"publisher","first-page":"14436","DOI":"10.1109\/TVT.2020.3038049","volume":"69","author":"G Ferro","year":"2020","unstructured":"Ferro G, Paolucci M, Robba M (2020) Conventional vs electric commercial vehicle fleets: A case study of economic and technological factors affecting the competitiveness of electric commercial vehicles in the USA. IEEE Trans Veh Technol 69(12):14436. https:\/\/doi.org\/10.1109\/TVT.2020.3038049","journal-title":"IEEE Trans Veh Technol"},{"key":"7205_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.5772\/20271","volume":"1","author":"E Schaltz","year":"2011","unstructured":"Schaltz E, Soylu S (2011) Electrical vehicle design and modeling. Electr Vehicles-Model Simul 1:1. https:\/\/doi.org\/10.5772\/20271","journal-title":"Electr Vehicles-Model Simul"},{"key":"7205_CR32","doi-asserted-by":"publisher","DOI":"10.4271\/831790","author":"A Sitchin","year":"1983","unstructured":"Sitchin A (1983) Acquisition of transient tire force and moment data for dynamic vehicle handling simulations. SAE Trans. https:\/\/doi.org\/10.4271\/831790","journal-title":"SAE Trans"},{"key":"7205_CR33","doi-asserted-by":"publisher","DOI":"10.3390\/app7121230","author":"M Acosta","year":"2017","unstructured":"Acosta M, Kanarachos S, Blundell M (2017) Road friction virtual sensing: a review of estimation techniques with emphasis on low excitation approaches. Appl Sci. https:\/\/doi.org\/10.3390\/app7121230","journal-title":"Appl Sci"},{"key":"7205_CR34","doi-asserted-by":"publisher","DOI":"10.4271\/890087","author":"E Bakker","year":"1989","unstructured":"Bakker E, Pacejka HB, Lidner L (1989) A new tire model with an application in vehicle dynamics studies. SAE Trans. https:\/\/doi.org\/10.4271\/890087","journal-title":"SAE Trans"},{"issue":"7","key":"7205_CR35","doi-asserted-by":"publisher","first-page":"3166","DOI":"10.1016\/j.amc.2010.08.049","volume":"217","author":"G Zhu","year":"2010","unstructured":"Zhu G, Kwong S (2010) Gbest-guided artificial bee colony algorithm for numerical function optimization. Appl Math Comput 217(7):3166. https:\/\/doi.org\/10.1016\/j.amc.2010.08.049","journal-title":"Appl Math Comput"},{"issue":"3","key":"7205_CR36","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1109\/MITS.2014.2315660","volume":"6","author":"J Ward","year":"2014","unstructured":"Ward J, Worrall S, Agamennoni G, Nebot E (2014) The warrigal dataset: multi-vehicle trajectories and V2V communications. Intel Trans Syst Mag, IEEE 6(3):109. https:\/\/doi.org\/10.1109\/MITS.2014.2315660","journal-title":"Intel Trans Syst Mag, IEEE"},{"key":"7205_CR37","doi-asserted-by":"publisher","unstructured":"Abousleiman R, Rawashdeh O (2015) A Bellman-Ford approach to energy efficient routing of electric vehicles, In: 2015 IEEE Transportation Electrification Conference and Expo (ITEC) (IEEE, 2015), pp 1\u20134. https:\/\/doi.org\/10.1109\/ITEC.2015.7165772","DOI":"10.1109\/ITEC.2015.7165772"},{"key":"7205_CR38","unstructured":"Bellman R (1956) On a routing problem (No. RAND-P-1000), Rand Corp Santa Monica Ca"}],"updated-by":[{"DOI":"10.1007\/s00521-022-07449-1","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000}}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07205-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-022-07205-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07205-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T18:26:15Z","timestamp":1662056775000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-022-07205-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,25]]},"references-count":38,"journal-issue":{"issue":"18","published-print":{"date-parts":[[2022,9]]}},"alternative-id":["7205"],"URL":"https:\/\/doi.org\/10.1007\/s00521-022-07205-5","relation":{"correction":[{"id-type":"doi","id":"10.1007\/s00521-022-07449-1","asserted-by":"object"}]},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,25]]},"assertion":[{"value":"29 June 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 March 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 April 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 June 2022","order":4,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":5,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"A Correction to this paper has been published:","order":6,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"https:\/\/doi.org\/10.1007\/s00521-022-07449-1","URL":"https:\/\/doi.org\/10.1007\/s00521-022-07449-1","order":7,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}