{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T17:09:43Z","timestamp":1778605783239,"version":"3.51.4"},"reference-count":28,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers and Electrical Engineering"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.compeleceng.2026.111148","type":"journal-article","created":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T10:59:08Z","timestamp":1775127548000},"page":"111148","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["EVerGen: Optimal path planning for electric vehicle using modified genetic algorithm in internet of vehicular things"],"prefix":"10.1016","volume":"135","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4165-242X","authenticated-orcid":false,"given":"Sushovan","family":"Khatua","sequence":"first","affiliation":[]},{"given":"Anwesha","family":"Mukherjee","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9688-9806","authenticated-orcid":false,"given":"Debashis","family":"De","sequence":"additional","affiliation":[]},{"given":"Soumya K.","family":"Ghosh","sequence":"additional","affiliation":[]},{"given":"Rajkumar","family":"Buyya","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.compeleceng.2026.111148_b1","doi-asserted-by":"crossref","first-page":"578","DOI":"10.1016\/j.scs.2018.02.024","article-title":"Long-term cost of ownership comparative analysis between electric vehicles and internal combustion engine vehicles","volume":"39","author":"Weldon","year":"2018","journal-title":"Sustain Cities Soc"},{"key":"10.1016\/j.compeleceng.2026.111148_b2","doi-asserted-by":"crossref","DOI":"10.1109\/ACCESS.2024.3385731","article-title":"An in-depth exploration of electric vehicle charging station infrastructure: a comprehensive review of challenges, mitigation approaches, and optimization strategies","author":"Yousuf","year":"2024","journal-title":"IEEE Access"},{"key":"10.1016\/j.compeleceng.2026.111148_b3","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.fuel.2017.05.061","article-title":"Power-to-fuel as a key to sustainable transport systems\u2013an analysis of diesel fuels produced from CO2 and renewable electricity","volume":"205","author":"Schemme","year":"2017","journal-title":"Fuel"},{"key":"10.1016\/j.compeleceng.2026.111148_b4","series-title":"2016 IEEE transportation electrification conference and expo, Asia-Pacific (ITEC Asia-Pacific)","first-page":"479","article-title":"Hazard based modelling of electric vehicles charging patterns","author":"Daina","year":"2016"},{"key":"10.1016\/j.compeleceng.2026.111148_b5","doi-asserted-by":"crossref","DOI":"10.1016\/j.apenergy.2022.120393","article-title":"A review on integration of surging plug-in electric vehicles charging in energy-flexible buildings: Impacts analysis, collaborative management technologies, and future perspective","volume":"331","author":"Zou","year":"2023","journal-title":"Appl Energy"},{"issue":"5","key":"10.1016\/j.compeleceng.2026.111148_b6","doi-asserted-by":"crossref","first-page":"946","DOI":"10.3390\/en12050946","article-title":"Prediction of electric vehicle range: A comprehensive review of current issues and challenges","volume":"12","author":"Varga","year":"2019","journal-title":"Energies"},{"key":"10.1016\/j.compeleceng.2026.111148_b7","doi-asserted-by":"crossref","first-page":"212423","DOI":"10.1109\/ACCESS.2020.3039815","article-title":"Machine learning-based method for remaining range prediction of electric vehicles","volume":"8","author":"Zhao","year":"2020","journal-title":"IEEE Access"},{"issue":"1","key":"10.1016\/j.compeleceng.2026.111148_b8","doi-asserted-by":"crossref","DOI":"10.1115\/1.4053306","article-title":"Neural network-based electric vehicle range prediction for smart charging optimization","volume":"144","author":"Eagon","year":"2022","journal-title":"J Dyn Syst Meas Control"},{"key":"10.1016\/j.compeleceng.2026.111148_b9","doi-asserted-by":"crossref","DOI":"10.1016\/j.jpowsour.2020.227780","article-title":"An integrated predictive energy management for light-duty range-extended plug-in fuel cell electric vehicle","volume":"451","author":"Zhou","year":"2020","journal-title":"J Power Sources"},{"key":"10.1016\/j.compeleceng.2026.111148_b10","doi-asserted-by":"crossref","first-page":"17082","DOI":"10.1109\/ACCESS.2019.2892746","article-title":"Electrical vehicle path tracking based model predictive control with a laguerre function and exponential weight","volume":"7","author":"Zhang","year":"2019","journal-title":"IEEE Access"},{"key":"10.1016\/j.compeleceng.2026.111148_b11","article-title":"Connected and autonomous electric vehicles: Quality of experience survey and taxonomy","volume":"28","author":"Damaj","year":"2021","journal-title":"Veh Commun"},{"key":"10.1016\/j.compeleceng.2026.111148_b12","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2022.123437","article-title":"Location optimization of electric vehicle charging stations: Based on cost model and genetic algorithm","volume":"247","author":"Zhou","year":"2022","journal-title":"Energy"},{"key":"10.1016\/j.compeleceng.2026.111148_b13","doi-asserted-by":"crossref","DOI":"10.1016\/j.apenergy.2019.114006","article-title":"Supervisory long-term prediction of state of available power for lithium-ion batteries in electric vehicles","volume":"257","author":"Yang","year":"2020","journal-title":"Appl Energy"},{"key":"10.1016\/j.compeleceng.2026.111148_b14","series-title":"2023 14th international conference on computing communication and networking technologies","first-page":"1","article-title":"Automated speed breaker system using IoVT generated data for electric vehicle using machine learning","author":"Raza","year":"2023"},{"issue":"5","key":"10.1016\/j.compeleceng.2026.111148_b15","doi-asserted-by":"crossref","first-page":"4751","DOI":"10.1109\/TVT.2020.2979623","article-title":"Route planning and power management for PHEVs with reinforcement learning","volume":"69","author":"Zhang","year":"2020","journal-title":"IEEE Trans Veh Technol"},{"issue":"11","key":"10.1016\/j.compeleceng.2026.111148_b16","doi-asserted-by":"crossref","first-page":"15211","DOI":"10.1002\/er.8219","article-title":"Prediction of electric vehicle charging duration time using ensemble machine learning algorithm and Shapley additive explanations","volume":"46","author":"Ullah","year":"2022","journal-title":"Int J Energy Res"},{"key":"10.1016\/j.compeleceng.2026.111148_b17","article-title":"Route planning and charging navigation strategy for electric vehicles based on real-time traffic information and grid information","volume":"vol. 752","author":"Qiang","year":"2020"},{"issue":"5","key":"10.1016\/j.compeleceng.2026.111148_b18","doi-asserted-by":"crossref","first-page":"1040","DOI":"10.3390\/en11051040","article-title":"Predicting charging time of battery electric vehicles based on regression and time-series methods: a case study of Beijing","volume":"11","author":"Bi","year":"2018","journal-title":"Energies"},{"key":"10.1016\/j.compeleceng.2026.111148_b19","article-title":"SoVEC: Social vehicular edge computing-based optimum route selection","author":"Khatua","year":"2024","journal-title":"Veh Commun"},{"key":"10.1016\/j.compeleceng.2026.111148_b20","doi-asserted-by":"crossref","first-page":"8543","DOI":"10.1109\/ACCESS.2020.2964307","article-title":"Electric vehicle charging warning and path planning method based on spark","volume":"8","author":"Ding","year":"2020","journal-title":"IEEE Access"},{"issue":"2","key":"10.1016\/j.compeleceng.2026.111148_b21","doi-asserted-by":"crossref","first-page":"2437","DOI":"10.1109\/JSYST.2021.3075088","article-title":"Intelligent path planning strategy for electric vehicles combined with urban electrified transportation network and power grid","volume":"16","author":"Zhou","year":"2021","journal-title":"IEEE Syst J"},{"key":"10.1016\/j.compeleceng.2026.111148_b22","article-title":"A traffic-aware electric vehicle charging management system for smart cities","volume":"20","author":"Barbecho","year":"2019","journal-title":"Veh Commun"},{"key":"10.1016\/j.compeleceng.2026.111148_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.compeleceng.2025.110227","article-title":"Optimal day-ahead scheduling and reconfiguration of active distribution systems considering energy hubs, residential demand response aggregators, and electric vehicle parking lot aggregators","volume":"123","author":"Nourizadeh","year":"2025","journal-title":"Comput Electr Eng"},{"issue":"2","key":"10.1016\/j.compeleceng.2026.111148_b24","doi-asserted-by":"crossref","first-page":"1491","DOI":"10.1109\/TVT.2021.3131776","article-title":"A secure and efficient wireless charging scheme for electric vehicles in vehicular energy networks","volume":"71","author":"Wang","year":"2021","journal-title":"IEEE Trans Veh Technol"},{"key":"10.1016\/j.compeleceng.2026.111148_b25","doi-asserted-by":"crossref","first-page":"170888","DOI":"10.1109\/ACCESS.2019.2955927","article-title":"Intelligent vehicle-to-vehicle charging navigation for mobile electric vehicles via VANET-based communication","volume":"7","author":"Li","year":"2019","journal-title":"IEEE Access"},{"issue":"2","key":"10.1016\/j.compeleceng.2026.111148_b26","doi-asserted-by":"crossref","first-page":"967","DOI":"10.1109\/COMST.2020.2982118","article-title":"Energy and information management of electric vehicular network: A survey","volume":"22","author":"Chen","year":"2020","journal-title":"IEEE Commun Surv Tutor"},{"key":"10.1016\/j.compeleceng.2026.111148_b27","article-title":"A V2V charging allocation protocol for electric vehicles in VANET","volume":"33","author":"Abualola","year":"2022","journal-title":"Veh Commun"},{"issue":"3","key":"10.1016\/j.compeleceng.2026.111148_b28","article-title":"Analyzing vehicle emissions using a hybrid machine learning approach using weighted average based k-means clustering for sustainable transportation decision-making","volume":"3","author":"Mobasshir","year":"2025","journal-title":"Green Technol Sustain"}],"container-title":["Computers and Electrical Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S004579062600220X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S004579062600220X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T16:23:41Z","timestamp":1778603021000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S004579062600220X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":28,"alternative-id":["S004579062600220X"],"URL":"https:\/\/doi.org\/10.1016\/j.compeleceng.2026.111148","relation":{},"ISSN":["0045-7906"],"issn-type":[{"value":"0045-7906","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"EVerGen: Optimal path planning for electric vehicle using modified genetic algorithm in internet of vehicular things","name":"articletitle","label":"Article Title"},{"value":"Computers and Electrical Engineering","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compeleceng.2026.111148","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"111148"}}