Development of a cloud-based service framework for energy conservation in a sustainable intelligent transportation system
The research aims to develop a cloud-based service framework for reducing carbon dioxide emission and fuel consumption in intelligent transportation system. It collects traffic condition, driving behavior, and video through telematics and digital tachygraphy and road-side cameras to facilitate advan...
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| Published in: | International journal of production economics Vol. 164; pp. 454 - 461 |
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| Main Authors: | , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Amsterdam
Elsevier B.V
01.06.2015
Elsevier Sequoia S.A |
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| ISSN: | 0925-5273, 1873-7579 |
| Online Access: | Get full text |
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| Abstract | The research aims to develop a cloud-based service framework for reducing carbon dioxide emission and fuel consumption in intelligent transportation system. It collects traffic condition, driving behavior, and video through telematics and digital tachygraphy and road-side cameras to facilitate advanced data analytics for the reduction of fuel consumption. There are three specific features regarding this framework. First, a transportation cloud is built for the storage of massive data and video. This cloud-based system not only avoids the use of hard disks at client-site for energy conservation and reliability improvement, but also allows the back-end data analytics at both server and client sites. Second, a real-time traffic condition analytic was developed by mobile machine vision techniques based on video and data collected from road-side cameras to analyze and recognize traffic conditions, such as traffic flow, braking events, traffic lights, and count-down timers. Then, a fuel-efficient route navigation technology is also developed for eco-driving based on real time traffic information and a dynamic shortest path algorithm for saving time and fuel consumption. Third, a sequential pattern mining model was proposed to diagnose misguided driving behavior for eco-driving based on the real-time data collected from digital tachygraphy and on-board diagnostics system. Furthermore, an e-Learning visualization system was developed to provide advice and instruction for correction of misguided driving behavior. Indeed, the fuel consumption and power consumption can be reduced simultaneously based on the proposed framework regarding cloud-based system and eco-driving. |
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| AbstractList | The research aims to develop a cloud-based service framework for reducing carbon dioxide emission and fuel consumption in intelligent transportation system. It collects traffic condition, driving behavior, and video through telematics and digital tachygraphy and road-side cameras to facilitate advanced data analytics for the reduction of fuel consumption. There are three specific features regarding this framework. First, a transportation cloud is built for the storage of massive data and video. This cloud-based system not only avoids the use of hard disks at client-site for energy conservation and reliability improvement, but also allows the back-end data analytics at both server and client sites. Second, a real-time traffic condition analytic was developed by mobile machine vision techniques based on video and data collected from road-side cameras to analyze and recognize traffic conditions, such as traffic flow, braking events, traffic lights, and count-down timers. Then, a fuel-efficient route navigation technology is also developed for eco-driving based on real time traffic information and a dynamic shortest path algorithm for saving time and fuel consumption. Third, a sequential pattern mining model was proposed to diagnose misguided driving behavior for eco-driving based on the real-time data collected from digital tachygraphy and on-board diagnostics system. Furthermore, an e-Learning visualization system was developed to provide advice and instruction for correction of misguided driving behavior. Indeed, the fuel consumption and power consumption can be reduced simultaneously based on the proposed framework regarding cloud-based system and eco-driving. |
| Author | Lin, Chi-Fang Yu, Liang-Chih Yao, Hsiu-Hsen Robert Lai, K. Hsu, Chia-Yu Chang, Pei-Chann Chen, Duan-Yu Yang, Chin-Sheng |
| Author_xml | – sequence: 1 givenname: Chia-Yu surname: Hsu fullname: Hsu, Chia-Yu organization: Department of Information Management, Yuan Ze University, No. 135, Yuan-Tung Road Chungli, Taoyuan 32003, Taiwan – sequence: 2 givenname: Chin-Sheng surname: Yang fullname: Yang, Chin-Sheng organization: Department of Information Management, Yuan Ze University, No. 135, Yuan-Tung Road Chungli, Taoyuan 32003, Taiwan – sequence: 3 givenname: Liang-Chih orcidid: 0000-0003-1443-4347 surname: Yu fullname: Yu, Liang-Chih organization: Department of Information Management, Yuan Ze University, No. 135, Yuan-Tung Road Chungli, Taoyuan 32003, Taiwan – sequence: 4 givenname: Chi-Fang surname: Lin fullname: Lin, Chi-Fang organization: Department of Computer Science & Engineering, Yuan Ze University, No. 135, Yuan-Tung Road Chungli, Taoyuan 32003, Taiwan – sequence: 5 givenname: Hsiu-Hsen surname: Yao fullname: Yao, Hsiu-Hsen organization: Department of Computer Science & Engineering, Yuan Ze University, No. 135, Yuan-Tung Road Chungli, Taoyuan 32003, Taiwan – sequence: 6 givenname: Duan-Yu surname: Chen fullname: Chen, Duan-Yu organization: Department of Electrical Engineering, Yuan Ze University, No. 135, Yuan-Tung Road Chungli, Taoyuan 32003, Taiwan – sequence: 7 givenname: K. surname: Robert Lai fullname: Robert Lai, K. organization: Department of Computer Science & Engineering, Yuan Ze University, No. 135, Yuan-Tung Road Chungli, Taoyuan 32003, Taiwan – sequence: 8 givenname: Pei-Chann surname: Chang fullname: Chang, Pei-Chann email: iepchang@saturn.yzu.edu.tw organization: Department of Information Management, Yuan Ze University, No. 135, Yuan-Tung Road Chungli, Taoyuan 32003, Taiwan |
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| Cites_doi | 10.1109/TASE.2012.2203304 10.1016/j.camwa.2011.07.046 10.1109/ParCompTech.2013.6621392 10.1145/1943552.1943572 10.1007/978-3-642-16515-3_21 10.1016/j.trc.2006.10.001 10.1016/j.ijpe.2010.01.018 10.1016/j.sbspro.2011.08.064 10.1016/j.enpol.2009.10.021 10.1016/j.techfore.2013.06.010 10.1109/CISDA.2012.6291516 10.1016/j.trd.2013.02.011 10.1109/IVS.2009.5164304 10.1016/j.comcom.2012.06.015 10.1016/j.trc.2013.10.013 10.1109/BMSB.2011.5954886 10.1016/j.sbspro.2012.09.740 10.1109/IROS.2009.5353941 10.1109/WoWMoM.2011.5986186 10.1016/j.enpol.2009.04.026 10.1016/j.techfore.2006.05.005 10.1109/ICOSP.2010.5655932 10.1109/ICRA.2011.5980164 10.1016/j.trd.2009.05.009 10.1016/j.trd.2009.01.004 10.1016/j.trd.2005.01.001 10.1016/j.sbspro.2013.10.605 10.1016/j.apenergy.2008.12.017 10.1109/ITSC.2012.6338765 10.1016/S1361-9209(01)00003-7 10.7903/ijecs.1092 10.1016/j.trc.2006.11.003 10.1109/CISP.2012.6469806 10.2172/1110942 10.1061/(ASCE)0733-947X(2002)128:2(182) 10.1016/j.enpol.2012.12.070 10.1016/j.apergo.2010.08.012 10.1016/j.trb.2013.06.004 10.1016/j.ejor.2013.12.033 10.1109/ITSC.2002.1041322 10.1109/ICOSP.2010.5655934 10.1016/j.ecolecon.2004.06.028 10.1007/978-3-642-24826-9_23 10.1109/ICCSIT.2009.5234518 |
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| Keywords | Eco-driving Telematics Energy conservation Intelligent transportation systems Cloud |
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| References | Ericsson, Larsson, Brundell-Freji (bib23) 2006; 14 Ahn, Rakha, Trani, Van Aerde (bib2) 2002; 128 Omachi, M., Omachi, S., 2009. Traffic light detection with color and edge information. In: Proceedings of 2nd IEEE International Conference on Computer Science and Information Technology, pp. 284–287. Andrieu, Pierre (bib5) 2012; 54 Malakar, R., Vydyanathan, N., 2013. A CUDA-enabled Hadoop cluster for fast distributed image processing. National Conference on Parallel Computing Technologies, Karnataka, India, pp. 1–5. Apache., 2013b. Spark Research [Online]. Available Nie, Li (bib38) 2013; 55 Hindman, B., Konwinski, A., Zaharia, M., Ghodsi, A., Joseph, A.D., Katz, R., Shenker, S., Stoica, I., 2011. Mesos: A platform for fine-grained resource sharing in the data center. In: Proceedings of the 8th USENIX Conference on Networked Systems Design and Implementation, Boston, MA, USA, pp. 22–22. Kwon (bib31) 2005; 53 Paravantis, Georgakellos (bib42) 2007; 74 Brundell-Freij, Ericsson (bib13) 2005; 10 Diaz-Cabrera, M., Cerri, P., Sanchez-Medina, J., 2012. Suspended traffic lights detection and distance estimation using color features. In: Proceedings of 2012 15th International IEEE Conference on Intelligent Transportation Systems, pp. 1315–1320. Barth, Boriboonsomsin (bib9) 2009; 14 Manzie, Watson, Halgamuge (bib36) 2007; 15 Grant-Muller, Usher (bib26) 2014; 82 Li, Lu, Zhang, Wang (bib32) 2013; 57 Stockhammer, T., 2011. Dynamic adaptive streaming over HTTP – standards and design principles. In: Proceedings of the second annual ACM conference on Multimedia systems, New York, USA, pp. 133–144. Beusen, Broekx, Denys, Beckx, Degraeuwe, Gijsbers, Scheepers, Govaerts, Torfs, Panis (bib11) 2009; 14 de Charette, R., Nashashibi, F., 2009a. Real time visual traffic lights recognition based on Spot Light Detection and adaptive traffic lights templates. In: Proceedings of 2009 IEEE Intelligent Vehicles Symposium, pp. 358–363. HIS, 2013. Big, Big, Big Data: The Rise of HD Video Surveillance Cameras Spurs Information Explosion [Online]. Available Ericsson (bib22) 2001; 6 Yamamoto, Kaneko (bib51) 2012; 3 Davis, S.C., Diegel, S.W., Boundy, R.G., 2013. Transportation energy data book: Edition 32. Technical report, United State Department of Energy. . Mensing, Bideaux, Trigui, Ribet, Jeanneret (bib37) 2014; 38 Boriboonsomsin, Vu, Barth (bib12) 2010 Ando, Nishihori (bib4) 2011; 20 Omachi, M., Omachi, S., 2010. Detection of traffic light using structural information. In: Proceedings of 10th International Conference on Signal Processing, pp. 809–812. Sundarakani, De Souza, Goh, Wagner, Manikandan (bib48) 2010; 128 Saboohia, Farzaneh (bib44) 2009; 86 Demir, Bektas, Laporte (bib20) 2014; 237 Chunhe, Y., Chuan, H., Yao, L., 2010. Traffic light detection during day and night conditions by a camera. In: Proceedings of 2010 IEEE 10th International Conference on Signal Processing, pp. 821–824. Jiang, Duan (bib24) 2012 Kato, Kobayashi (bib30) 2008; 62 Lv, Z., Hu, Y.J., Zhong, H.D., Wu, J.P., Li, B., and Zhao, H., 2010. Parallel k-means clustering of remote sensing images based on Mapreduce. In: Proceedings of International Conference on Web Information Systems and Mining, Sanya, China, pp. 162–170. Alham, Li, Liu, Hammoud (bib3) 2011; 62 Carrese, Gemma, Spada (bib15) 2013; 87 Papagiannaki, Diakoulaki (bib41) 2009; 37 Sweeney, C., Liu, L., Arietta, S., Lawrence, J., 2013. HIPI: A Hadoop image processing interface for image-based MapReduce Tasks [Online]. Available Apache., 2013c. Apache ZooKeeper [Online]. Available Fairfield, N., Urmson, C., 2011. Traffic light mapping and detection. In: Proceedings of 2011 IEEE International Conference on Robotics and Automation, pp. 5421–5426. Lohmar, T., Einarsson, T., Frojdh, P., Gabin, F., Kampmann, M., 2011. Dynamic adaptive HTTP streaming of live content. In: Proceedings of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Lucca, Italy, pp. 1–8. Hofmann, I., Farber, N., Fuchs, H., 2011. A study of network performance withapplication to Adaptive HTTP Streaming. IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, Erlangen, Germany, pp. 1–6. Strömberg, Karlsson (bib47) 2013; 22 Schmidt, R., Rella, M., 2011. An approach for processing large and non-uniform media objects on mapreduce-based clusters. In: Proceedings of the 13th International Conference on Asia-pacific Digital Libraries: For Cultural Heritage, Knowledge Dissemination, and Future Creation, Beijing, China, pp. 172–181. Benjaafar, Li, Daskin (bib10) 2013; 10 Barkenbus (bib501) 2010; 38 Wu, Chen, Kuo, Lee, Chao (bib50) 2012; 35 Zhu, G.L., Zhang, F., Zhu, W., Zheng, Y.Y., 2012. HTML5 based media player for real-time video surveillance. In: Proceedings of International Congress on Image and Signal Processing (CISP), Chongqing, Sichuan, China, pp. 245–248. Young, Birrell, Stanton (bib52) 2011; 42 Apache., 2013a. Apache Hadoop [Online]. Available Cappiello, A., Chabini, I., Nam, E.K., Lue, A., and Abou Zeid, M., 2002. A statistical model of vehicle emissions and fuel consumption. In: Proceedings of the IEEE 5th International Conference on Intelligent Transportation Systems, pp. 801–809. Rainer, B., Lederer, S., Muller, C., Timmerer, C., 2012. A seamless web integration of adaptive HTTP streaming. In: Proceedings of the 20th European Signal Processing Conference (EUSIPCO), Bucharest, Romania, pp. 1519–1523. Agrawal, R., Lin, K.-P., Sawhney, H.S., Shim, K., 1995. Fast similarity search in the presence of noise, scaling, and translation in time-series databases. In: Proceedings of the 21st International Conference on Very Large Data Bases (VLDB), Zurich, Switzerland. de Charette, R., Nashashibi, F., 2009b. Traffic light recognition using image processing compared to learning processes. In: Proceedings of 2009IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 333–338. Zixing, C., Yi, L., Mingqin, G., 2012. Real-time recognition system of traffic light in urban environment. In: Proceedings of 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications (CISDA), pp. 1–6. Ericsson (10.1016/j.ijpe.2014.08.014_bib22) 2001; 6 10.1016/j.ijpe.2014.08.014_bib29 Jiang (10.1016/j.ijpe.2014.08.014_bib24) 2012 10.1016/j.ijpe.2014.08.014_bib28 10.1016/j.ijpe.2014.08.014_bib25 Strömberg (10.1016/j.ijpe.2014.08.014_bib47) 2013; 22 10.1016/j.ijpe.2014.08.014_bib27 Nie (10.1016/j.ijpe.2014.08.014_bib38) 2013; 55 Papagiannaki (10.1016/j.ijpe.2014.08.014_bib41) 2009; 37 Grant-Muller (10.1016/j.ijpe.2014.08.014_bib26) 2014; 82 Beusen (10.1016/j.ijpe.2014.08.014_bib11) 2009; 14 Saboohia (10.1016/j.ijpe.2014.08.014_bib44) 2009; 86 10.1016/j.ijpe.2014.08.014_bib34 10.1016/j.ijpe.2014.08.014_bib33 Brundell-Freij (10.1016/j.ijpe.2014.08.014_bib13) 2005; 10 Boriboonsomsin (10.1016/j.ijpe.2014.08.014_bib12) 2010 10.1016/j.ijpe.2014.08.014_bib18 Manzie (10.1016/j.ijpe.2014.08.014_bib36) 2007; 15 10.1016/j.ijpe.2014.08.014_bib17 Carrese (10.1016/j.ijpe.2014.08.014_bib15) 2013; 87 10.1016/j.ijpe.2014.08.014_bib19 10.1016/j.ijpe.2014.08.014_bib14 10.1016/j.ijpe.2014.08.014_bib16 Ando (10.1016/j.ijpe.2014.08.014_bib4) 2011; 20 Barkenbus (10.1016/j.ijpe.2014.08.014_bib501) 2010; 38 Benjaafar (10.1016/j.ijpe.2014.08.014_bib10) 2013; 10 Wu (10.1016/j.ijpe.2014.08.014_bib50) 2012; 35 Kwon (10.1016/j.ijpe.2014.08.014_bib31) 2005; 53 10.1016/j.ijpe.2014.08.014_bib21 Li (10.1016/j.ijpe.2014.08.014_bib32) 2013; 57 Sundarakani (10.1016/j.ijpe.2014.08.014_bib48) 2010; 128 Andrieu (10.1016/j.ijpe.2014.08.014_bib5) 2012; 54 10.1016/j.ijpe.2014.08.014_bib46 10.1016/j.ijpe.2014.08.014_bib49 Kato (10.1016/j.ijpe.2014.08.014_bib30) 2008; 62 10.1016/j.ijpe.2014.08.014_bib8 10.1016/j.ijpe.2014.08.014_bib7 10.1016/j.ijpe.2014.08.014_bib6 Young (10.1016/j.ijpe.2014.08.014_bib52) 2011; 42 Mensing (10.1016/j.ijpe.2014.08.014_bib37) 2014; 38 10.1016/j.ijpe.2014.08.014_bib1 10.1016/j.ijpe.2014.08.014_bib54 10.1016/j.ijpe.2014.08.014_bib53 Ahn (10.1016/j.ijpe.2014.08.014_bib2) 2002; 128 10.1016/j.ijpe.2014.08.014_bib39 Barth (10.1016/j.ijpe.2014.08.014_bib9) 2009; 14 Demir (10.1016/j.ijpe.2014.08.014_bib20) 2014; 237 10.1016/j.ijpe.2014.08.014_bib35 Alham (10.1016/j.ijpe.2014.08.014_bib3) 2011; 62 Ericsson (10.1016/j.ijpe.2014.08.014_bib23) 2006; 14 10.1016/j.ijpe.2014.08.014_bib43 10.1016/j.ijpe.2014.08.014_bib45 Yamamoto (10.1016/j.ijpe.2014.08.014_bib51) 2012; 3 10.1016/j.ijpe.2014.08.014_bib40 Paravantis (10.1016/j.ijpe.2014.08.014_bib42) 2007; 74 |
| References_xml | – volume: 14 start-page: 514 year: 2009 end-page: 520 ident: bib11 article-title: Using on-board logging devices to study the longer-term impact of an eco-driving course publication-title: Transp. Res. Part D: Transp. Environ. – reference: Malakar, R., Vydyanathan, N., 2013. A CUDA-enabled Hadoop cluster for fast distributed image processing. National Conference on Parallel Computing Technologies, Karnataka, India, pp. 1–5. – volume: 237 start-page: 775 year: 2014 end-page: 793 ident: bib20 article-title: A review of recent research on green freight transportation publication-title: Eur. J. Oper. Res. – reference: Omachi, M., Omachi, S., 2010. Detection of traffic light using structural information. In: Proceedings of 10th International Conference on Signal Processing, pp. 809–812. – volume: 37 start-page: 3259 year: 2009 end-page: 3267 ident: bib41 article-title: Decomposition analysis of CO publication-title: Energy Policy – reference: HIS, 2013. Big, Big, Big Data: The Rise of HD Video Surveillance Cameras Spurs Information Explosion [Online]. Available: – reference: Apache., 2013c. Apache ZooKeeper [Online]. Available: – volume: 20 start-page: 577 year: 2011 end-page: 587 ident: bib4 article-title: How does driving behavior change when following an eco-driving car? publication-title: Proc. Soc. Behav. Sci. – volume: 14 start-page: 400 year: 2009 end-page: 410 ident: bib9 article-title: Energy and emissions impacts of a freeway-based dynamic eco-driving system publication-title: Transp. Res. Part D: Transp. Environ. – reference: Hindman, B., Konwinski, A., Zaharia, M., Ghodsi, A., Joseph, A.D., Katz, R., Shenker, S., Stoica, I., 2011. Mesos: A platform for fine-grained resource sharing in the data center. In: Proceedings of the 8th USENIX Conference on Networked Systems Design and Implementation, Boston, MA, USA, pp. 22–22. – volume: 128 start-page: 43 year: 2010 end-page: 50 ident: bib48 article-title: Modelling carbon footprints across the supply chain publication-title: Int. J. Prod. Econ. – reference: de Charette, R., Nashashibi, F., 2009a. Real time visual traffic lights recognition based on Spot Light Detection and adaptive traffic lights templates. In: Proceedings of 2009 IEEE Intelligent Vehicles Symposium, pp. 358–363. – reference: Chunhe, Y., Chuan, H., Yao, L., 2010. Traffic light detection during day and night conditions by a camera. In: Proceedings of 2010 IEEE 10th International Conference on Signal Processing, pp. 821–824. – reference: Apache., 2013b. Spark Research [Online]. Available: – volume: 57 start-page: 99 year: 2013 end-page: 106 ident: bib32 article-title: Trends in road freight transportation carbon dioxide emissions and policies in China publication-title: Energy Policy – reference: Sweeney, C., Liu, L., Arietta, S., Lawrence, J., 2013. HIPI: A Hadoop image processing interface for image-based MapReduce Tasks [Online]. Available: – volume: 14 start-page: 369 year: 2006 end-page: 383 ident: bib23 article-title: Optimizing route choice of lowest fuel consumption – potential effects of a new driver support tool publication-title: Transp. Res. Part C: Emerg. Technol. – reference: Stockhammer, T., 2011. Dynamic adaptive streaming over HTTP – standards and design principles. In: Proceedings of the second annual ACM conference on Multimedia systems, New York, USA, pp. 133–144. – reference: Zixing, C., Yi, L., Mingqin, G., 2012. Real-time recognition system of traffic light in urban environment. In: Proceedings of 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications (CISDA), pp. 1–6. – volume: 38 start-page: 110 year: 2014 end-page: 121 ident: bib37 article-title: Eco-driving: an economic or ecologic style? publication-title: Transp. Res. Part C: Emerg. Technol. – reference: Fairfield, N., Urmson, C., 2011. Traffic light mapping and detection. In: Proceedings of 2011 IEEE International Conference on Robotics and Automation, pp. 5421–5426. – reference: Davis, S.C., Diegel, S.W., Boundy, R.G., 2013. Transportation energy data book: Edition 32. Technical report, United State Department of Energy. – volume: 86 start-page: 1925 year: 2009 end-page: 1932 ident: bib44 article-title: Model for developing an eco-driving strategy of a passenger vehicle based on the least fuel consumption publication-title: Appl. Energy – reference: Schmidt, R., Rella, M., 2011. An approach for processing large and non-uniform media objects on mapreduce-based clusters. In: Proceedings of the 13th International Conference on Asia-pacific Digital Libraries: For Cultural Heritage, Knowledge Dissemination, and Future Creation, Beijing, China, pp. 172–181. – volume: 42 start-page: 533 year: 2011 end-page: 539 ident: bib52 article-title: Safe driving in a green world: a review of driver performance benchmarks and technologies to support ‘smart’ driving publication-title: Appl. Ergonomics – reference: Omachi, M., Omachi, S., 2009. Traffic light detection with color and edge information. In: Proceedings of 2nd IEEE International Conference on Computer Science and Information Technology, pp. 284–287. – volume: 3 start-page: 211 year: 2012 end-page: 228 ident: bib51 article-title: Parallel image database processing with MapReduce and performance evaluation in pseudo distributed mode publication-title: Int. J. Electron. Commer. Stud. – volume: 74 start-page: 682 year: 2007 end-page: 707 ident: bib42 article-title: Trends in energy consumption and carbon dioxide emissions of passenger cars and buses publication-title: Technol. Forecast. Soc. Chang. – volume: 54 start-page: 211 year: 2012 end-page: 220 ident: bib5 article-title: Comparing effects of eco-driving training and simple advices on driving behavior publication-title: Proc. – Soc. Behav. Sci. – volume: 6 start-page: 325 year: 2001 end-page: 345 ident: bib22 article-title: Independent driving pattern factors and their influence on fuel-use and exhaust emission factors publication-title: Transp. Res. Part D: Transp. Environ. – volume: 22 start-page: 28 year: 2013 end-page: 33 ident: bib47 article-title: Comparative effects of eco-driving initiative aimed at urban bus drivers – results from a field trial publication-title: Transp. Res. Part D: Transp. Environ. – reference: Diaz-Cabrera, M., Cerri, P., Sanchez-Medina, J., 2012. Suspended traffic lights detection and distance estimation using color features. In: Proceedings of 2012 15th International IEEE Conference on Intelligent Transportation Systems, pp. 1315–1320. – volume: 128 start-page: 182 year: 2002 end-page: 190 ident: bib2 article-title: Estimating vehicle fuel consumption and emissions based on instantaneous speed and acceleration levels publication-title: J. Transp. Eng. – volume: 53 start-page: 261 year: 2005 end-page: 275 ident: bib31 article-title: Decomposition of factors determining the trend of CO publication-title: Ecol. Econ. – volume: 87 start-page: 211 year: 2013 end-page: 221 ident: bib15 article-title: Impacts of driving behaviours, slope and vehicle load factor on bus fuel consumption and emissions: a real case study in the city of Rome publication-title: Proc. – Soc. Behav. Sci. – start-page: 889 year: 2012 end-page: 892 ident: bib24 article-title: Application Research of WebSocket Technology on Web Tree Component – reference: Lohmar, T., Einarsson, T., Frojdh, P., Gabin, F., Kampmann, M., 2011. Dynamic adaptive HTTP streaming of live content. In: Proceedings of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Lucca, Italy, pp. 1–8. – volume: 10 start-page: 99 year: 2013 end-page: 116 ident: bib10 article-title: Carbon footprint and the management of supply chains: insights from simple models publication-title: IEEE Trans. Autom. Sci. Eng. – year: 2010 ident: bib12 article-title: Eco-driving pilot evaluation of driving behavior changes among U.S. drivers. faculty research – volume: 62 start-page: 79 year: 2008 end-page: 84 ident: bib30 article-title: Factor contributing to improved fuel economy in eco-drive publication-title: J. Soc. Autom. Eng. Jpn. – volume: 15 start-page: 1 year: 2007 end-page: 16 ident: bib36 article-title: Fuel economy improvements for urban driving: hybrid vs. intelligent vehicles publication-title: Transp. Res. Part C: Emerg. Technol. – reference: Cappiello, A., Chabini, I., Nam, E.K., Lue, A., and Abou Zeid, M., 2002. A statistical model of vehicle emissions and fuel consumption. In: Proceedings of the IEEE 5th International Conference on Intelligent Transportation Systems, pp. 801–809. – volume: 62 start-page: 2801 year: 2011 end-page: 2811 ident: bib3 article-title: A MapReduce-based distributed SVM algorithm for automatic image annotation publication-title: Comput. Math. Appl. – reference: Lv, Z., Hu, Y.J., Zhong, H.D., Wu, J.P., Li, B., and Zhao, H., 2010. Parallel k-means clustering of remote sensing images based on Mapreduce. In: Proceedings of International Conference on Web Information Systems and Mining, Sanya, China, pp. 162–170. – volume: 55 start-page: 154 year: 2013 end-page: 170 ident: bib38 article-title: An eco-routing model considering microscopic vehicle operating conditions publication-title: Transp. Res. Part B: Methodol. – reference: de Charette, R., Nashashibi, F., 2009b. Traffic light recognition using image processing compared to learning processes. In: Proceedings of 2009IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 333–338. – volume: 38 start-page: 762 year: 2010 end-page: 769 ident: bib501 article-title: Eco-driving: An overlooked climate change initiative publication-title: Energy Policy – volume: 35 start-page: 1809 year: 2012 end-page: 1818 ident: bib50 article-title: Cloud-based image processing system with priority-based data distribution mechanism publication-title: Comput. Commun. – reference: Agrawal, R., Lin, K.-P., Sawhney, H.S., Shim, K., 1995. Fast similarity search in the presence of noise, scaling, and translation in time-series databases. In: Proceedings of the 21st International Conference on Very Large Data Bases (VLDB), Zurich, Switzerland. – reference: Zhu, G.L., Zhang, F., Zhu, W., Zheng, Y.Y., 2012. HTML5 based media player for real-time video surveillance. In: Proceedings of International Congress on Image and Signal Processing (CISP), Chongqing, Sichuan, China, pp. 245–248. – reference: Hofmann, I., Farber, N., Fuchs, H., 2011. A study of network performance withapplication to Adaptive HTTP Streaming. IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, Erlangen, Germany, pp. 1–6. – reference: Rainer, B., Lederer, S., Muller, C., Timmerer, C., 2012. A seamless web integration of adaptive HTTP streaming. In: Proceedings of the 20th European Signal Processing Conference (EUSIPCO), Bucharest, Romania, pp. 1519–1523. – reference: . – volume: 82 start-page: 149 year: 2014 end-page: 166 ident: bib26 article-title: Intelligent transport systems: the propensity for environmental and economic benefits publication-title: Technol. Forecast. Soc. Chang. – volume: 10 start-page: 213 year: 2005 end-page: 229 ident: bib13 article-title: Influence of street characteristics, driver category and car performance on urban driving patterns publication-title: Transp. Res. Part D: Transp. Environ. – reference: Apache., 2013a. Apache Hadoop [Online]. Available: – volume: 10 start-page: 99 issue: 1 year: 2013 ident: 10.1016/j.ijpe.2014.08.014_bib10 article-title: Carbon footprint and the management of supply chains: insights from simple models publication-title: IEEE Trans. Autom. Sci. Eng. doi: 10.1109/TASE.2012.2203304 – volume: 62 start-page: 2801 year: 2011 ident: 10.1016/j.ijpe.2014.08.014_bib3 article-title: A MapReduce-based distributed SVM algorithm for automatic image annotation publication-title: Comput. Math. Appl. doi: 10.1016/j.camwa.2011.07.046 – ident: 10.1016/j.ijpe.2014.08.014_bib6 – ident: 10.1016/j.ijpe.2014.08.014_bib35 doi: 10.1109/ParCompTech.2013.6621392 – ident: 10.1016/j.ijpe.2014.08.014_bib46 doi: 10.1145/1943552.1943572 – ident: 10.1016/j.ijpe.2014.08.014_bib34 doi: 10.1007/978-3-642-16515-3_21 – start-page: 889 year: 2012 ident: 10.1016/j.ijpe.2014.08.014_bib24 – volume: 14 start-page: 369 year: 2006 ident: 10.1016/j.ijpe.2014.08.014_bib23 article-title: Optimizing route choice of lowest fuel consumption – potential effects of a new driver support tool publication-title: Transp. Res. Part C: Emerg. Technol. doi: 10.1016/j.trc.2006.10.001 – volume: 128 start-page: 43 issue: 1 year: 2010 ident: 10.1016/j.ijpe.2014.08.014_bib48 article-title: Modelling carbon footprints across the supply chain publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2010.01.018 – volume: 20 start-page: 577 year: 2011 ident: 10.1016/j.ijpe.2014.08.014_bib4 article-title: How does driving behavior change when following an eco-driving car? publication-title: Proc. Soc. Behav. Sci. doi: 10.1016/j.sbspro.2011.08.064 – volume: 38 start-page: 762 issue: 2 year: 2010 ident: 10.1016/j.ijpe.2014.08.014_bib501 article-title: Eco-driving: An overlooked climate change initiative publication-title: Energy Policy doi: 10.1016/j.enpol.2009.10.021 – volume: 82 start-page: 149 year: 2014 ident: 10.1016/j.ijpe.2014.08.014_bib26 article-title: Intelligent transport systems: the propensity for environmental and economic benefits publication-title: Technol. Forecast. Soc. Chang. doi: 10.1016/j.techfore.2013.06.010 – ident: 10.1016/j.ijpe.2014.08.014_bib54 doi: 10.1109/CISDA.2012.6291516 – volume: 22 start-page: 28 year: 2013 ident: 10.1016/j.ijpe.2014.08.014_bib47 article-title: Comparative effects of eco-driving initiative aimed at urban bus drivers – results from a field trial publication-title: Transp. Res. Part D: Transp. Environ. doi: 10.1016/j.trd.2013.02.011 – ident: 10.1016/j.ijpe.2014.08.014_bib18 doi: 10.1109/IVS.2009.5164304 – volume: 35 start-page: 1809 year: 2012 ident: 10.1016/j.ijpe.2014.08.014_bib50 article-title: Cloud-based image processing system with priority-based data distribution mechanism publication-title: Comput. Commun. doi: 10.1016/j.comcom.2012.06.015 – volume: 38 start-page: 110 year: 2014 ident: 10.1016/j.ijpe.2014.08.014_bib37 article-title: Eco-driving: an economic or ecologic style? publication-title: Transp. Res. Part C: Emerg. Technol. doi: 10.1016/j.trc.2013.10.013 – ident: 10.1016/j.ijpe.2014.08.014_bib43 – ident: 10.1016/j.ijpe.2014.08.014_bib29 doi: 10.1109/BMSB.2011.5954886 – volume: 54 start-page: 211 issue: 4 year: 2012 ident: 10.1016/j.ijpe.2014.08.014_bib5 article-title: Comparing effects of eco-driving training and simple advices on driving behavior publication-title: Proc. – Soc. Behav. Sci. doi: 10.1016/j.sbspro.2012.09.740 – ident: 10.1016/j.ijpe.2014.08.014_bib19 doi: 10.1109/IROS.2009.5353941 – ident: 10.1016/j.ijpe.2014.08.014_bib33 doi: 10.1109/WoWMoM.2011.5986186 – volume: 37 start-page: 3259 issue: 8 year: 2009 ident: 10.1016/j.ijpe.2014.08.014_bib41 article-title: Decomposition analysis of CO2 emissions from passenger cars: the cases of Greece and Denmark publication-title: Energy Policy doi: 10.1016/j.enpol.2009.04.026 – volume: 74 start-page: 682 issue: 5 year: 2007 ident: 10.1016/j.ijpe.2014.08.014_bib42 article-title: Trends in energy consumption and carbon dioxide emissions of passenger cars and buses publication-title: Technol. Forecast. Soc. Chang. doi: 10.1016/j.techfore.2006.05.005 – ident: 10.1016/j.ijpe.2014.08.014_bib40 doi: 10.1109/ICOSP.2010.5655932 – ident: 10.1016/j.ijpe.2014.08.014_bib25 doi: 10.1109/ICRA.2011.5980164 – ident: 10.1016/j.ijpe.2014.08.014_bib27 – volume: 14 start-page: 514 issue: 7 year: 2009 ident: 10.1016/j.ijpe.2014.08.014_bib11 article-title: Using on-board logging devices to study the longer-term impact of an eco-driving course publication-title: Transp. Res. Part D: Transp. Environ. doi: 10.1016/j.trd.2009.05.009 – volume: 14 start-page: 400 issue: 6 year: 2009 ident: 10.1016/j.ijpe.2014.08.014_bib9 article-title: Energy and emissions impacts of a freeway-based dynamic eco-driving system publication-title: Transp. Res. Part D: Transp. Environ. doi: 10.1016/j.trd.2009.01.004 – ident: 10.1016/j.ijpe.2014.08.014_bib8 – volume: 10 start-page: 213 issue: 3 year: 2005 ident: 10.1016/j.ijpe.2014.08.014_bib13 article-title: Influence of street characteristics, driver category and car performance on urban driving patterns publication-title: Transp. Res. Part D: Transp. Environ. doi: 10.1016/j.trd.2005.01.001 – volume: 87 start-page: 211 issue: 10 year: 2013 ident: 10.1016/j.ijpe.2014.08.014_bib15 article-title: Impacts of driving behaviours, slope and vehicle load factor on bus fuel consumption and emissions: a real case study in the city of Rome publication-title: Proc. – Soc. Behav. Sci. doi: 10.1016/j.sbspro.2013.10.605 – volume: 86 start-page: 1925 issue: 10 year: 2009 ident: 10.1016/j.ijpe.2014.08.014_bib44 article-title: Model for developing an eco-driving strategy of a passenger vehicle based on the least fuel consumption publication-title: Appl. Energy doi: 10.1016/j.apenergy.2008.12.017 – ident: 10.1016/j.ijpe.2014.08.014_bib21 doi: 10.1109/ITSC.2012.6338765 – volume: 6 start-page: 325 issue: 5 year: 2001 ident: 10.1016/j.ijpe.2014.08.014_bib22 article-title: Independent driving pattern factors and their influence on fuel-use and exhaust emission factors publication-title: Transp. Res. Part D: Transp. Environ. doi: 10.1016/S1361-9209(01)00003-7 – volume: 3 start-page: 211 issue: 2 year: 2012 ident: 10.1016/j.ijpe.2014.08.014_bib51 article-title: Parallel image database processing with MapReduce and performance evaluation in pseudo distributed mode publication-title: Int. J. Electron. Commer. Stud. doi: 10.7903/ijecs.1092 – volume: 15 start-page: 1 issue: 1 year: 2007 ident: 10.1016/j.ijpe.2014.08.014_bib36 article-title: Fuel economy improvements for urban driving: hybrid vs. intelligent vehicles publication-title: Transp. Res. Part C: Emerg. Technol. doi: 10.1016/j.trc.2006.11.003 – ident: 10.1016/j.ijpe.2014.08.014_bib53 doi: 10.1109/CISP.2012.6469806 – ident: 10.1016/j.ijpe.2014.08.014_bib1 – ident: 10.1016/j.ijpe.2014.08.014_bib17 doi: 10.2172/1110942 – volume: 128 start-page: 182 issue: 2 year: 2002 ident: 10.1016/j.ijpe.2014.08.014_bib2 article-title: Estimating vehicle fuel consumption and emissions based on instantaneous speed and acceleration levels publication-title: J. Transp. Eng. doi: 10.1061/(ASCE)0733-947X(2002)128:2(182) – ident: 10.1016/j.ijpe.2014.08.014_bib7 – ident: 10.1016/j.ijpe.2014.08.014_bib28 – year: 2010 ident: 10.1016/j.ijpe.2014.08.014_bib12 – volume: 57 start-page: 99 year: 2013 ident: 10.1016/j.ijpe.2014.08.014_bib32 article-title: Trends in road freight transportation carbon dioxide emissions and policies in China publication-title: Energy Policy doi: 10.1016/j.enpol.2012.12.070 – volume: 42 start-page: 533 issue: 4 year: 2011 ident: 10.1016/j.ijpe.2014.08.014_bib52 article-title: Safe driving in a green world: a review of driver performance benchmarks and technologies to support ‘smart’ driving publication-title: Appl. Ergonomics doi: 10.1016/j.apergo.2010.08.012 – volume: 62 start-page: 79 issue: 11 year: 2008 ident: 10.1016/j.ijpe.2014.08.014_bib30 article-title: Factor contributing to improved fuel economy in eco-drive publication-title: J. Soc. Autom. Eng. Jpn. – volume: 55 start-page: 154 year: 2013 ident: 10.1016/j.ijpe.2014.08.014_bib38 article-title: An eco-routing model considering microscopic vehicle operating conditions publication-title: Transp. Res. Part B: Methodol. doi: 10.1016/j.trb.2013.06.004 – volume: 237 start-page: 775 issue: 3 year: 2014 ident: 10.1016/j.ijpe.2014.08.014_bib20 article-title: A review of recent research on green freight transportation publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2013.12.033 – ident: 10.1016/j.ijpe.2014.08.014_bib14 doi: 10.1109/ITSC.2002.1041322 – ident: 10.1016/j.ijpe.2014.08.014_bib49 – ident: 10.1016/j.ijpe.2014.08.014_bib16 doi: 10.1109/ICOSP.2010.5655934 – volume: 53 start-page: 261 issue: 2 year: 2005 ident: 10.1016/j.ijpe.2014.08.014_bib31 article-title: Decomposition of factors determining the trend of CO2 emissions from car travel in Great Britain (1970–2000) publication-title: Ecol. Econ. doi: 10.1016/j.ecolecon.2004.06.028 – ident: 10.1016/j.ijpe.2014.08.014_bib45 doi: 10.1007/978-3-642-24826-9_23 – ident: 10.1016/j.ijpe.2014.08.014_bib39 doi: 10.1109/ICCSIT.2009.5234518 |
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| SubjectTerms | Cloud Cloud computing Data analysis Eco-driving Emissions control Energy conservation Energy consumption Intelligent systems Intelligent transportation systems Studies Sustainable development Telematics Traffic |
| Title | Development of a cloud-based service framework for energy conservation in a sustainable intelligent transportation system |
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