{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:33:36Z","timestamp":1750221216190,"version":"3.41.0"},"publisher-location":"New York, New York, USA","reference-count":16,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"FAPEMIG"},{"name":"NSERC","award":["CREATE-TRANSIT Program"],"award-info":[{"award-number":["CREATE-TRANSIT Program"]}]},{"name":"FAPESP","award":["15\/24494-8"],"award-info":[{"award-number":["15\/24494-8"]}]},{"name":"CAPES"},{"name":"CNPq"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1145\/3265863.3265872","type":"proceedings-article","created":{"date-parts":[[2018,10,26]],"date-time":"2018-10-26T19:34:05Z","timestamp":1540582445000},"page":"29-36","source":"Crossref","is-referenced-by-count":2,"title":["Fuel Efficient Routes Using Vehicular Sensor Data"],"prefix":"10.1145","author":[{"given":"Andr\u00e9 B.","family":"Campolina","sequence":"first","affiliation":[{"name":"Federal University of Minas Gerais, Belo Horizonte, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Azzedine","family":"Boukerche","sequence":"additional","affiliation":[{"name":"University of Ottawa, Ottawa, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Max","family":"do V. Machado","sequence":"additional","affiliation":[{"name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais, Belo Horizonte, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio A. F.","family":"Loureiro","sequence":"additional","affiliation":[{"name":"Federal University of Minas Gerais, Belo Horizonte, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","reference":[{"key":"key-10.1145\/3265863.3265872-1","doi-asserted-by":"crossref","unstructured":"Kyoungho Ahn and Hesham Rakha. 2008. The effects of route choice decisions on vehicle energy consumption and emissions . Transportation Research Part D: Transport and Environment , Vol. 13, 3 (2008), 151--167. https:\/\/doi.org\/10.1016\/j.trd.2008.01.005","DOI":"10.1016\/j.trd.2008.01.005"},{"key":"key-10.1145\/3265863.3265872-2","doi-asserted-by":"crossref","unstructured":"Andr&#233; Campolina, Paulo Henrique Rettore, Max do Val Machado, and Antonio A.F. Loureiro. 2017. On The Design of Vehicular Virtual Sensors. In The 13th International Conference on Distributed Computing in Sensor Systems (DCoSS 2017). Ottawa, Canada.","DOI":"10.1109\/DCOSS.2017.21"},{"key":"key-10.1145\/3265863.3265872-3","doi-asserted-by":"crossref","unstructured":"Laura Eboli, Gabriella Mazzulla, and Giuseppe Pungillo. 2016. Combining speed and acceleration to define car users' safe or unsafe driving behaviour . Transportation Research Part C: Emerging Technologies , Vol. 68 (2016), 113--125. https:\/\/doi.org\/10.1016\/j.trc.2016.04.002","DOI":"10.1016\/j.trc.2016.04.002"},{"key":"key-10.1145\/3265863.3265872-4","doi-asserted-by":"crossref","unstructured":"Eva Ericsson, Hanna Larsson, and Karin Brundell-Freij. 2006. Optimizing route choice for lowest fuel consumption - Potential effects of a new driver support tool . Transportation Research Part C: Emerging Technologies , Vol. 14, 6 (2006), 369--383. https:\/\/doi.org\/10.1016\/j.trc.2006.10.001","DOI":"10.1016\/j.trc.2006.10.001"},{"key":"key-10.1145\/3265863.3265872-5","doi-asserted-by":"crossref","unstructured":"William J. Fleming. 2001. Overview of Automotive Sensors . IEEE Sensors Journal , Vol. 1, 4 (2001), 296--308. https:\/\/doi.org\/10.1109\/7361.983469","DOI":"10.1109\/7361.983469"},{"key":"key-10.1145\/3265863.3265872-6","doi-asserted-by":"crossref","unstructured":"Raghu K. Ganti, Nam Pham, Hossein Ahmadi, Saurabh Nangia, and Tarek F. Abdelzaher. 2010. GreenGPS. In Proceedings of the 8th international conference on Mobile systems, applications, and services - MobiSys '10 (MobiSys '10). ACM, New York, NY, USA, 151. https:\/\/doi.org\/10.1145\/1814433.1814450","DOI":"10.1145\/1814433.1814450"},{"key":"key-10.1145\/3265863.3265872-7","doi-asserted-by":"crossref","unstructured":"Haorong Li, Daihong Yu, and James E Braun. 2011. A review of virtual sensing technology and application in building systems . HVAC&#38;R Research , Vol. 9669, November 2014 (2011), 37--41. https:\/\/doi.org\/10.1080\/10789669.2011.573051","DOI":"10.1080\/10789669.2011.573051"},{"key":"key-10.1145\/3265863.3265872-8","doi-asserted-by":"crossref","unstructured":"Lichuan Liu, Sen M. Kuo, and MengChu Zhou. 2009. Virtual sensing techniques and their applications. In 2009 International Conference on Networking, Sensing and Control. IEEE, 31--36. https:\/\/doi.org\/10.1109\/ICNSC.2009.4919241","DOI":"10.1109\/ICNSC.2009.4919241"},{"key":"key-10.1145\/3265863.3265872-9","doi-asserted-by":"crossref","unstructured":"Javier E. Meseguer, Carlos T. Calafate, Juan Carlos Cano, and Pietro Manzoni. 2013. DrivingStyles: A smartphone application to assess driver behavior . Proceedings - International Symposium on Computers and Communications (2013), 535--540. https:\/\/doi.org\/10.1109\/ISCC.2013.6755001","DOI":"10.1109\/ISCC.2013.6755001"},{"key":"key-10.1145\/3265863.3265872-10","doi-asserted-by":"crossref","unstructured":"Ren&#234; Oliveira, Carlos Montez, Azzedine Boukerche, and Michelle S. Wangham. 2017. Reliable data dissemination protocol for VANET traffic safety applications. Ad Hoc Networks , Vol. 63 (2017), 30 -- 44. https:\/\/doi.org\/10.1016\/j.adhoc.2017.05.002","DOI":"10.1016\/j.adhoc.2017.05.002"},{"key":"key-10.1145\/3265863.3265872-11","doi-asserted-by":"crossref","unstructured":"M. Rodelgo-Lacruz, F. J. Gil-Castineira, F. J. Gonzalez-Castano, J. M. Pousada-Carballo, J. Contreras, a. Gomez, M. V. Bueno-Delgado, E. Egea-Lopez, J. Vales-Alonso, and J. Garcia-Haro. 2007. Base technologies for vehicular networking applications: review and case studies . 2007 IEEE International Symposium on Industrial Electronics (2007), 2567--2572. https:\/\/doi.org\/10.1109\/ISIE.2007.4375012","DOI":"10.1109\/ISIE.2007.4375012"},{"key":"key-10.1145\/3265863.3265872-12","doi-asserted-by":"crossref","unstructured":"Chao Shang, Fan Yang, Dexian Huang, and Wenxiang Lyu. 2014. Data-driven soft sensor development based on deep learning technique . Journal of Process Control , Vol. 24, 3 (mar 2014), 223--233. https:\/\/doi.org\/10.1016\/J.JPROCONT.2014.01.012","DOI":"10.1016\/j.jprocont.2014.01.012"},{"key":"key-10.1145\/3265863.3265872-13","doi-asserted-by":"crossref","unstructured":"Francisco A.A. Souza, Rui Ara&#250; jo, and J&#233; r&#244; me Mendes. 2016. Review of soft sensor methods for regression applications . Chemometrics and Intelligent Laboratory Systems , Vol. 152 (mar 2016), 69--79. https:\/\/doi.org\/10.1016\/J.CHEMOLAB.2015.12.011","DOI":"10.1016\/j.chemolab.2015.12.011"},{"key":"key-10.1145\/3265863.3265872-14","doi-asserted-by":"crossref","unstructured":"Joanny Stephant, Ali Charara, and Dominique Meizel. 2004. Virtual sensor: Application to vehicle sideslip angle and transversal forces . IEEE Transactions on Industrial Electronics , Vol. 51, 2 (2004), 278--289. https:\/\/doi.org\/10.1109\/TIE.2004.824857","DOI":"10.1109\/TIE.2004.824857"},{"key":"key-10.1145\/3265863.3265872-15","doi-asserted-by":"crossref","unstructured":"Jiafu Wan, Jianqi Liu, Zehui Shao, Athanasios Vasilakos, Muhammad Imran, and Keliang Zhou. 2016. Mobile Crowd Sensing for Traffic Prediction in Internet of Vehicles . Sensors , Vol. 16, 1 (jan 2016), 88. https:\/\/doi.org\/10.3390\/s16010088","DOI":"10.3390\/s16010088"},{"key":"key-10.1145\/3265863.3265872-16","doi-asserted-by":"crossref","unstructured":"M. Bani Younes and A. Boukerche. 2016. Intelligent Traffic Light Controlling Algorithms Using Vehicular Networks. IEEE Transactions on Vehicular Technology , Vol. 65, 8 (Aug 2016), 5887--5899. https:\/\/doi.org\/10.1109\/TVT.2015.2472367","DOI":"10.1109\/TVT.2015.2472367"}],"event":{"number":"16","sponsor":["SIGSIM, ACM Special Interest Group on Simulation and Modeling"],"acronym":"MobiWac'18","name":"the 16th ACM International Symposium","start":{"date-parts":[[2018,10,28]]},"location":"Montreal, QC, Canada","end":{"date-parts":[[2018,11,2]]}},"container-title":["Proceedings of the 16th ACM International Symposium on Mobility Management and Wireless Access - MobiWac'18"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3265863.3265872","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3265872&ftid=2012381&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:39:50Z","timestamp":1750210790000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3265863.3265872"}},"subtitle":[],"proceedings-subject":"Mobility Management and Wireless Access","short-title":[],"issued":{"date-parts":[[2018]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1145\/3265863.3265872","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}