{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T18:18:44Z","timestamp":1725473924858},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,8,17]],"date-time":"2021-08-17T00:00:00Z","timestamp":1629158400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,8,17]],"date-time":"2021-08-17T00:00:00Z","timestamp":1629158400000},"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":["Wireless Pers Commun"],"published-print":{"date-parts":[[2022,1]]},"DOI":"10.1007\/s11277-021-08912-3","type":"journal-article","created":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T10:03:31Z","timestamp":1629281011000},"page":"543-576","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["An Intelligent Traffic Signal Management Strategy to Reduce Vehicles CO2 Emissions in Fog Oriented VANET"],"prefix":"10.1007","volume":"122","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-2369-4223","authenticated-orcid":false,"given":"Ananya","family":"Paul","sequence":"first","affiliation":[]},{"given":"Jaka","family":"Haricharan","sequence":"additional","affiliation":[]},{"given":"Sulata","family":"Mitra","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,8,17]]},"reference":[{"key":"8912_CR1","doi-asserted-by":"crossref","unstructured":"Jayapal, C., & Sujith Roy, S. (2016). Road traffic congestion management using VANET. In 2016 International conference on advances in human machine interaction (HMI) (pp. 1\u20137). IEEE.","DOI":"10.1109\/HMI.2016.7449188"},{"issue":"4","key":"8912_CR2","doi-asserted-by":"publisher","first-page":"15501477","DOI":"10.1177\/1550147716683612","volume":"13","author":"AM De Souza","year":"2017","unstructured":"De Souza, A. M., Brennand, C., Yokoyama, R. S., Donato, E. A., Madeira, E. R. M., & Villas, L. A. (2017). Traffic management systems: A classification, review, challenges, and future perspectives. International Journal of Distributed Sensor Networks, 13(4), 15501477\u201316683612.","journal-title":"International Journal of Distributed Sensor Networks"},{"key":"8912_CR3","doi-asserted-by":"crossref","unstructured":"Paul, A., & Mitra, S. (2018). Dynamic traffic light control mechanism in VANET. In International conference on advances in computing, communications and informatics (ICACCI) (pp. 436\u2013440). IEEE.","DOI":"10.1109\/ICACCI.2018.8554820"},{"key":"8912_CR4","doi-asserted-by":"crossref","unstructured":"Zhang, E. Z., & Zhang, X. (2019). Road traffic congestion detecting by VANETs. In 2nd International conference on electrical and electronic engineering (EEE 2019). Atlantis Press.","DOI":"10.2991\/eee-19.2019.39"},{"key":"8912_CR5","doi-asserted-by":"crossref","unstructured":"Paul, A., & Mitra, S. (2020). Real-time routing for ITS enabled fog oriented VANET. In India council international conference (INDICON) (pp. 1\u20137). IEEE.","DOI":"10.1109\/INDICON49873.2020.9342463"},{"issue":"35","key":"8912_CR6","first-page":"2","volume":"1","author":"M Barth","year":"2009","unstructured":"Barth, M., & Boriboonsomsin, K. (2009). Traffic congestion and greenhouse gases. Access Magazine, 1(35), 2\u20139.","journal-title":"Access Magazine"},{"key":"8912_CR7","doi-asserted-by":"crossref","unstructured":"Paul, A., & Mitra, S. (2020). Deep reinforcement learning based traffic signal optimization for multiple intersections in ITS. In International conference on advanced networks and telecommunications systems (ANTS) (pp. 1\u20136). IEEE.","DOI":"10.1109\/ANTS50601.2020.9342819"},{"key":"8912_CR8","doi-asserted-by":"crossref","unstructured":"Khakimov, A., Muthanna, A., & Muthanna, M. S. A. (2018). Study of fog computing structure. In 2018 IEEE conference of russian young researchers in electrical and electronic engineering (EIConRus) (pp. 51\u201354). IEEE.","DOI":"10.1109\/EIConRus.2018.8317028"},{"key":"8912_CR9","unstructured":"Schleicher, E., Graffi, K., & Rabay\u2019a, A. (2019). Fog computing with p2p: Enhancing fog computing bandwidth for iot scenarios. In 2019 International conference on internet of things (iThings) and IEEE green computing and communications (GreenCom) and IEEE cyber, physical and social computing (CPSCom) and IEEE smart data (SmartData) (pp. 82\u201389). IEEE."},{"key":"8912_CR10","doi-asserted-by":"crossref","unstructured":"Nafi, N. S., & Khan, J. Y. (2012). A VANET based intelligent road traffic signalling system. In Australasian Telecommunication Networks and Applications Conference (ATNAC) 2012 (pp. 1\u20136). IEEE.","DOI":"10.1109\/ATNAC.2012.6398066"},{"key":"8912_CR11","doi-asserted-by":"publisher","first-page":"22175","DOI":"10.1109\/ACCESS.2019.2891250","volume":"7","author":"TT Ngo","year":"2019","unstructured":"Ngo, T. T., Huynh-The, T., & Kim, D. S. (2019). A novel VANETs-based traffic light scheduling scheme for greener planet and safer road intersections. IEEE Access, 7, 22175\u201322185.","journal-title":"IEEE Access"},{"issue":"2","key":"8912_CR12","doi-asserted-by":"publisher","first-page":"1230","DOI":"10.1109\/JSYST.2015.2500587","volume":"12","author":"C Suthaputchakun","year":"2015","unstructured":"Suthaputchakun, C., & Sun, Z. (2015). A novel traffic light scheduling based on TLVC and vehicles priority for reducing fuel consumption and $$CO_{2}$$ emission. IEEE Systems Journal, 12(2), 1230\u20131238.","journal-title":"IEEE Systems Journal"},{"key":"8912_CR13","doi-asserted-by":"crossref","unstructured":"Abdalla, L. A., Taha, R. M., Mohammed, N. S., & Osman, N. I. (2019). Reducing delay and CO$$_2$$ emissions in multi-lane intersections using vehicular ad-hoc networks. In 2019 International conference on computer and information sciences (ICCIS) (pp. 1\u20136).","DOI":"10.1109\/ICCISci.2019.8716383"},{"issue":"3","key":"8912_CR14","doi-asserted-by":"publisher","first-page":"608","DOI":"10.1109\/TITS.2016.2585925","volume":"18","author":"R Doolan","year":"2016","unstructured":"Doolan, R., & Muntean, G. M. (2016). Ecotrec: A novel VANET-based approach to reducing vehicle emissions. IEEE Transactions on Intelligent Transportation Systems, 18(3), 608\u2013620.","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"8912_CR15","doi-asserted-by":"crossref","unstructured":"Yasin, G., Abbas, S. F., & Iqbal, W. (2015). Carbon emission-aware routing protocol in vehicular ad-hoc networks. In 2015 9th International conference on application of information and communication technologies (AICT) (pp. 461\u2013466). IEEE.","DOI":"10.1109\/ICAICT.2015.7338602"},{"key":"8912_CR16","doi-asserted-by":"crossref","unstructured":"Sumon, N., & Jaekel, A. (2018). Fuel efficient route planning using VANET. In 2018 IEEE 9th annual information technology, electronics and mobile communication conference (IEMCON) (pp. 468\u2013474). IEEE.","DOI":"10.1109\/IEMCON.2018.8614944"},{"key":"8912_CR17","doi-asserted-by":"crossref","unstructured":"Xiao, Z., Xiao, Z., Wang, D., & Li, X. (2015). An intelligent traffic light control approach for reducing vehicles CO$$_2$$ emissions in VANET. In 2015 12th international conference on fuzzy systems and knowledge discovery (FSKD) (pp. 2070\u20132075). IEEE.","DOI":"10.1109\/FSKD.2015.7382270"},{"key":"8912_CR18","doi-asserted-by":"crossref","unstructured":"Rashid, H., Ashrafi, M. J. F., Azizi, M., & Heydarinezhad, M. R. (2015). Intelligent traffic light control based on clustering using vehicular ad-hoc networks. In 2015 7th conference on information and knowledge technology (IKT) (pp. 1\u20136). IEEE.","DOI":"10.1109\/IKT.2015.7288801"},{"key":"8912_CR19","doi-asserted-by":"crossref","unstructured":"Maslekar, N., Boussedjra, M., Mouzna, J., & Labiod, H. (2011). Vanet based adaptive traffic signal control. In 2011 IEEE 73rd vehicular technology conference (VTC Spring) (pp. 1\u20135). IEEE.","DOI":"10.1109\/VETECS.2011.5956305"},{"key":"8912_CR20","doi-asserted-by":"crossref","unstructured":"Mane, T. S., & Agrawal, H. (2017). Cloud-fog-dew architecture for refined driving assistance: The complete service computing ecosystem. In 2017 IEEE 17th international conference on ubiquitous wireless broadband (ICUWB) (pp. 1\u20137). IEEE.","DOI":"10.1109\/ICUWB.2017.8251002"},{"key":"8912_CR21","doi-asserted-by":"crossref","unstructured":"Stanger, T., & del Re, L. (2013). A model predictive cooperative adaptive cruise control approach. In 2013 American control conference (pp. 1374\u20131379). IEEE.","DOI":"10.1109\/ACC.2013.6580028"},{"key":"8912_CR22","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1016\/j.jnca.2015.08.003","volume":"58","author":"MR Jabbarpour","year":"2015","unstructured":"Jabbarpour, M. R., Noor, R. M., & Khokhar, R. H. (2015). Green vehicle traffic routing system using ant-based algorithm. Journal of Network and Computer Applications, 58, 294\u2013308.","journal-title":"Journal of Network and Computer Applications"},{"key":"8912_CR23","doi-asserted-by":"crossref","unstructured":"Doolan, R., & Muntean, G. M. (2013). VANET-enabled eco-friendly road characteristics-aware routing for vehicular traffic. In 2013 IEEE 77th vehicular technology conference (VTC Spring) (pp. 1\u20135). IEEE.","DOI":"10.1109\/VTCSpring.2013.6692807"},{"key":"8912_CR24","doi-asserted-by":"publisher","first-page":"1034","DOI":"10.1016\/j.scitotenv.2013.09.043","volume":"468","author":"G Fontaras","year":"2014","unstructured":"Fontaras, G., Franco, V., Dilara, P., Martini, G., & Manfredi, U. (2014). Development and review of euro 5 passenger car emission factors based on experimental results over various driving cycles. Science of the Total Environment, 468, 1034\u20131042.","journal-title":"Science of the Total Environment"},{"key":"8912_CR25","unstructured":"Hausberger, S. (2009). Emission Factors from the Model PHEM for the HBEFA Version 3."},{"key":"8912_CR26","doi-asserted-by":"crossref","unstructured":"Paul, A. & Mitra, S. (2021). Management of traffic signals using deep reinforcement learning in bidirectional recurrent neural network in ITS. In International conference on intelligent systems, metaheuristics & swarm intelligence (ISMSI). ACM.","DOI":"10.1145\/3461598.3461608"}],"container-title":["Wireless Personal Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-021-08912-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11277-021-08912-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-021-08912-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T10:07:13Z","timestamp":1639735633000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11277-021-08912-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,17]]},"references-count":26,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,1]]}},"alternative-id":["8912"],"URL":"https:\/\/doi.org\/10.1007\/s11277-021-08912-3","relation":{},"ISSN":["0929-6212","1572-834X"],"issn-type":[{"value":"0929-6212","type":"print"},{"value":"1572-834X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,17]]},"assertion":[{"value":"8 August 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 August 2021","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 that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not Applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Availability of data and material"}},{"value":"Not Applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Code availability"}}]}}