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A Hardware Model for Vehicular Network to Control Air Pollution Leading to Big Data Analytics
Technical Paper
2018-28-0038
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The foremost emphasis of this paper is to project the need for collecting the outlet pollutant gases from the individual vehicle which is on fleet and the need to maintain the vehicle to make the surveillance of vehicle in the fleet. The data that is collected from the vehicle was stored in the cloud and provided to the vehicle user mobile application that displays the level of pollutant. With the help of pollutant level the user may be aware of the maintenance or the change in vehicle filling station, which will reduce the overall level of pollutant of the vehicle. The data that is uploaded in the cloud will be used by the regional transport office to keep track of the vehicle user. Since the vehicle keeps increasing in its usage the total data received from the vehicle also increases, the data collected was based on the individual vehicle its sensed value, vehicle user data makes the regular and frequent updates in the cloud that creates the variety of input and varsity in the cloud. Thus the input grows larger in size where there is a need for the big data entering in. Big data analysis gives the detailed view that helps in the flow regulation of vehicles when the details of the days and location of vehicle traced from the cloud server.
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Citation
Anuradha, G., Ramesh Babu, K., and Naiju, C., "A Hardware Model for Vehicular Network to Control Air Pollution Leading to Big Data Analytics," SAE Technical Paper 2018-28-0038, 2018, https://doi.org/10.4271/2018-28-0038.Data Sets - Support Documents
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References
- The Hindu Daily 2016
- Zhang , H. , Wang , S. , Hao , J. , Wang , X. et al. Air Pollution and Control Action in Beijing Journal of the Air Pollution Control Association 30 1216 1220 10.1016/j.jclepro.2015.04.092
- Black , F.M. , High , L.E. , and Lang , J.M. 10.1080/00022470.1980.10465171
- Jabbarpour , M.R. , Noor , R.D. , and KhoKhar , R.H. 10.1016/j.jnca.2015.08.003
- Henneman , L.R.F. , Rafaj , P. , Annegarn , H.J. , and Klausbruckner , C. 10.1016/j.enpol.2015.11.026
- Demir , E. , Bektas , T. , and Gilbert Laporte 10.1016/j.ejor.2013.12.033
- Cai , H. and Xie , S. 10.1080/10962247.2012.755138
- Yi , W.Y. , Lo , K.M. , Mak , T. et al. A Survey of Wireless Sensor Network Based Air Pollution Monitoring Systems Sensors 15 31392 31427 2015 10.3390/s151229859
- Maraiya , K. , Kant , K. , and Upta , N. Efficient Cluster Head Selection Scheme for Data Aggregation in Wireless Sensor Network International Journal of Computer Application. 23 9 2011
- Malche , T. and Maheshwary , P. Harnessing the Internet of Things (IoT): A Review International Journal of Advanced Research in Computer Science and Software Engineering 5 8 2015
- Sinha , M.R. , Ediga , D. , and Iyer , S. Implementation of IoT in Bus Transport System of Singapore Asian Journal of Engineering Research I IV 08 17 2013
- Zanella , A. and Vangelista , L. Internet of Things for Smart Cities IEEE Internet of Things Journal 1 1 2014
- Stankovic , J.A. Research Direction for the Internet of Things IEEE Internet of Things Journal 1 1 3 9 Feb. 2014
- Pticek , M. , Podobnik , V. , and Jezic , G. 10.1155/2016/8178417
- Singer , B. A Chronology of Tactics: Art Tackles Big Data and the Environment SAGE Pub 10.1177/2053951716665869
- Etzion , D. and Alberto Aragon-Correa , J. Big Data, Management, and Sustainability: Strategic Opportunities Ahead SAGE Pub 10.1177/1086026616650437
- Gabrys , J. Practicing, Materializing and Contesting Environmental Data SAGE Pub 10.1177/2053951716673391
- Loukissas , Y.A. A Place for Big Data: Close and Distant Readings of Accessions Data from the Arnold Arboretum SAGE Pub 10.1177/2053951716661365
- Ayyalasomayajula , H. , Gabriel , E. , Lindner , P. , and Price , D. Air Quality Simulations Using Big Data Programming Models IEEE 2016
- Rickerby , D.G. and Skouloudis , A.N. Big Data for Innovative Air-Pollution Assessments in the Era of Verifiable Regulatory Decisions European Union 2016
- Oprea , M. and Liu , H.Y. A Knowledge Based Approach for PM2.5 Air Pollution Effects Analysis IEEE 2016
- Zhang , H. , Wang , S. , Hao , J. , Wang , X. et al. Air Pollution and Control Action in Beijing Journal of Cleaner Production 1519-1527 112 2016
- Al-Ali , A.R. , Zualkernan, I. , and Aloul , F. A Mobile GPRS-Sensors Array for Air Pollution Monitoring IEEE Sensors Journal 10 10 1666 1671 2010
- Times of India Daily 2015
- Zhou , B. , Cao , J. , and Wu , H. Adaptive Traffic Light Control of Multiple Intersections in wsn- Based Its Vehicular Technology Conference (VTCSpring) Yokohama 2011 1 5