The adoption of cloud computing in autonomous vehicle

  • Authors

    • Hemalata Vasudavan
    • Kamalanathan Shanmugam
    • Harith Abdilaziz Ahmada
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.15480
  • Autonomous, Cloud Computing, Diffusions of Innovation, Technology Acceptance Model, Ubiquitous.
  • Abstract

    Cloud computing is a popular disruptive technology that has been pervasively spread around the globe and becoming part of our daily life. Leveraging the ubiquitous nature of cloud platforms, can be value adding approach to the massive data acquired from autonomous vehicles. The data extracted from autonomous vehicle’s sensors and actuators, together with other embedded smart devices can be monetized using cloud platforms to enhance reliability, comfort and improve security while driving. This paper focuses on the adoption of the cloud compu-ting in autonomous vehicles. Using Technology Acceptance Model (TAM) and Diffusions of Innovation (DOI), a new conceptual framework is extended to investigate and analyze factors underpinning the adoption.

     

     

     
  • References

    1. [1] Abraham, G. C. J. &. B. I., 2013. Technological-personal- environment (TPE) Framework, A Conceptual model for technology acceptance at individual level. Journal of International Technology and Information Managemen, 14(10), pp. 585-616.

      [2] Adai, M. A.-M., Moamin, A. M. & Mohd, S. A., 2016. Modeling the adoption of internet of things services:A conceptual framework. International Journal of Applied Research, 2(5), pp. 361-367.

      [3] Ahlgren, B. Et al., 2012. A Survey of Information-Centric Networking,. IEEE Communications Magazine, 50(7), pp. 26-36.

      [4] Ajzen, I., 1991. The theory of planned behavior. Organizational Behavior and Human Decision Processess. Heidelberg:Springer., 50(2), pp. 179-211.

      [5] Araujo, L., Mason, K. & Spring, M., 2012. Self-driving cars: A case study in making new markets. London, Lancaster University.

      [6] Arts, J. W. C., Frambach, R. T. & Bijmolt, T. H. A., 2011. Generalizations on consumer innovation adoption: A meta-analysis on drivers of intention and behavior. International Journal of Research in Marketing, 28(2), pp. 134-144.

      [7] Bagozzi, R. P., 2007. The legacy of the technology acceptance model and a proposal for a paradigm shift.. Journal of the Association for Information Systems, 8(4), pp. 244-254.

      [8] Bec, C., 2015. Driverless cars could reduce traffic fatalities by up to 90%, says report. [Online] Available at: http://www.sciencealert.com/driverless-cars-could-reduce-traffic-fatalities-by-up-to-90-says-report
      [Accessed 10 01 2017].

      [9] Begg, D., 2014. A 2050 vision for London: what are the implications of driverless transport.. S.l., Clear Channel.

      [10] Berger, S. Et al., 2006. Virtualizing the trusted platform module. California, USENIX Association, Berkeley.

      [11] Blackley, A., Peltier, J. & Peltier, T., 2004. Information Security Fundamentals. Auerbach Publications, 14(1).

      [12] Bolton, D., 2015. Tesla unveils its bizarre new 'Snakebot' automatic car charger. [Online] Available at: http://www.independent.co.uk/life-style/gadgets-and-tech/news/tesla-unveils-its-bizarre-new-snakebot-automatic-car-charger-10446120.html [Accessed 07 02 2017].

      [13] CDC, 2011. Injury Prevention and Control: Data and Statistics. Atlanta, Center for Disease Control.

      [14] Chong, A., Ooi, K., Lin, B. & and Raman, M., 2009. Factors affecting the adoption level of c-commerce: An empirical study. Journal of Computer Information Systems, 50(2), pp. 13-22.

      [15] Davis, F. D., Bagozzi, R. P. & Warshaw, P. R., 1992. Extrinsic and intrisic motivation to use computers in workplace. Journal of Applied Social Psychology.

      [16] Deloitte, 2014. Exploring consumers’ mobility choices and transportation decisions.. S.l., Global automotive consumer study.

      [17] Dr. Harald, B., Mark, P. & Jan, V., 2015. The Internet of Things: Opportunities and Challenges for semiconductor companies. New York, mckinsey&Company.

      [18] Dumaine, B., 2012. The Driverless Revolution. Fortune, 166(8), pp. 31-32.

      [19] Etienne, E., Sebastiaan, R. & Chrizanne, v. E., 2015. A structural model of technology acceptance. SA Journal of Industrial , 41(1), pp. 1-11.

      [20] Fagnant, D. J. & Kockelman, K., 2015. Preparing a nation for autonomous vehicles: Opportunities,barriers and policy recommendations. Transportation Research Part A: Policy and Practice, Volume 77, pp. 167-181.

      [21] Fishbein, M. & Ajzen, I., 1975. Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA. Addison-Wesley.

      [22] Friedman, A. & West, D., 2010. Privacy and security in cloud computing. The Centre for Technology Innovation, pp. 1-11.

      [23] Garfinkel, T. Et al., 2003. Virtual machine-based platform for trusted computing. ACM Symposium on Operating Systems Principles SOSP.

      [24] Gerla, M., 2012. Vehicular Cloud Computing. IEEE Med-Hoc-Net.

      [25] Gill, V., Kirk, B., Godsmark, P. & & Flemming, B., 2015. Automated vehicles: the coming of the next disruptive technology.. Toronto, The Conference Board of Canada.

      [26] Goguen, F. J. & Connolly, J. D., 2015. Automobiles and the Age of Autonomy. Boston, The Boston Company.

      [27] Google, 2014. Google self-driving car project.. [Online] Available at: https://www.google.com/selfdrivingcar [Accessed 07 02 2017].

      [28] Grassi, G. Et al., 2013. Vehicular Inter-Networking via Named Data. ACM hotmobile.

      [29] Grassi, G. Et al., 2013. Vehicular Inter-Networking via Named Data. ACM hotmobile.

      [30] Huang, J. Et al., 2012. A Close Examination of Performance and Power Characteristics of 4G LTE Networks. ACM mobisys.

      [31] Iwai, A. & Aoyama, M., 2011. Automotive cloud service systems based on service-oriented architecture and its evaluation. Washington, IEEE International Conference.

      [32] Jansson, J., 2011. Consumer eco-innovation adoption: assessing attitudinal factors and perceived product characteristics. Business Strategy and the Environment, 20(3), pp. 116-125.

      [33] Kate Magsamen-Conrad, 2015. Bridging the Divide: Using UTAUT to predict multigenerational tablet adoption practices. Media and Communications Faculty Publications, 6(2), pp. 10-43.

      [34] Khuram, S., 2016. Cloud Robotics and Autonomous Vehicles. INTECH RESEARCH-ARTICLE

      [35] Krautheim, F., 2009. Private virtual infrastructure for cloud computing. IEEE Conference on Hot Topics in Cloud Computing, pp. 1-5.

      [36] Kuffner, J., 2010. Cloud-enabled Robots. Nashville, IEEE-Ras International Conference on Humanoid Robotics.

      [37] Kumar, S. Et al., 2012. Carspeak: A Content-Centric Network for Autonomous Driving. ACM SIGCOMM.

      [38] Kuyoro, S. I. F. &. A. O., 2011. Cloud Computing Security Issues. International Journal of Computer Network (IJCN), 3(5), pp. 247-255.

      [39] Laberteaux, K. & Haas, J. A. H. Y., 2008. Security certificate revocation list distribution for VANET. ACM International Workshop on Vehicular Internetworking,, pp. 88-89.

      [40] Lee, K. Et al., 2011. First Experience with cartorrent in a Real Vehicular Ad Hoc Network Testbed. VANET MOVE.

      [41] Lynn, W., 2014. 4G LTE coming to 15 car makers, which ones, when?. [Online] Available at: http://www.autoconnectedcar.com/2014/09/4g-lte-coming-to-15-car-makers-which-ones-when/ [Accessed 10 01 2017].

      [42] Marco, D., 2015. Cloud Computing and the Internet of Things: Service Architectures for Data Analysis and Management.. University Of Pisa:Department Of Computer Science, pp. 6-24.

      [43] Mario, G., Eun-Kyu, L., Giovanni, P. & and Uichin, L., 2014. Internet of Vehicles: From Intelligent Grid to Autonomous Cars and Vehicular Clouds. IEEE World Forum on Internet of Things.

      [44] Markus, L. Et al., 2016. Insurers need to plug into the internet of things - or risk falling behind. New York, mckinsey&Company.

      [45] Mckinsey, 2016. Car data: Paving the way to value-creating mobility. Perspectives on a new automotive business model.

      [46] Mercedes Benz, 2015. Mercedes-Benz Actros with Highway Pilot - world premiere on public roads.. [Online] Available at: http://media.daimler.com/dcmedia/0-921-614341-1-1852861-1-0-0-0-0-0-0-0-0-0-0-0-0-0-0.html
      [Accessed 07 02 2016].

      [47] Michael, A. Et al., 2010. A View of Cloud Computing. Communications of the ac m, 53(4), pp. 1-9.

      [48] Michael, M., 2016. Cloud Computing: TOE Adoption Factors By Service Model In Manufacturing. @ Georgia State University, pp. 8-125.

      [49] Michele, B. & Dominik, W., 2015. Ten ways autonomous driving could redefine the automotive world. Mckinsey.

      [50] Mitchell, J., Borroni-Bird, C. E. & Burns, L. D., 2010. Reinventing the automobile personal urban mobility for the 21st century.. Washington, MIT Press.

      [51] Nazir, A. $. M., 2012. Security Framework for Cloud Computing Environment. A review journal of Emerging Trends in Computing and Information Sciences, 3(2), pp. 390-394.

      [52] NHTSA, 2008. National motor vehicle crash causation survey. Washington D.C, National Highway Traffic Safety Administration, U.S. Department of Transportation.

      [53] NHTSA, 2012. Fatal analysis reporting system. Washington D.C, National Highway Traffic Safety Administration, U.S. Department of Transportation

      [54] Nicholas, C., 2015. The hype over driverless cars: Is it overdone?. [Online] Available at: http://fortune.com/2015/02/18/the-hype-over-driverless-cars-is-it-overdone/ [Accessed 05 01 2016].

      [55] Olariu, S. & Weigle, E., 2009. Vehicular Networks: From Theory to Practice. Florida, CRC Press/Taylor & Francis.

      [56] Oliveira, T. & Martins, M. F., 2011. Literature Review of Information Technology Adoption Models at Firm Level. The Electronic Journal Information Systems Evaluation, 14(1), pp. 110-121.

      [57] Payre, W., Cestac, J. & Delhomme, P., 2014. Intention to use a fully automated car: Attitudes and a priori acceptability. Transportation Research Part F: Traffic Psychology and Behaviour, pp. 252-263.

      [58] Peter, B. Et al., 2015. The Internet of Things: Mapping the Value Beyond the Hype. New York, mckinsey Global Institute.

      [59] Peter, M. & Timothy, G., 2011. The NIST Definition of Cloud Computing. National Institute of Standards and Technology.

      [60] Peter, M. & Timothy, G., 2011. The NIST Definition of Cloud Computing. National Institute of Standards and Technology.

      [61] Petschnig, M., Heidenreich, S. & Spieth, P., 2014. Innovative alternatives take action - investigating determinants of alternative fuel vehicle adoption. Transportation Research Part A: Policy and Practice, pp. 68-83.

      [62] Plouffe, C. R., Hulland, J. S. & Vandenbosch, M., 2001. Research report: Richness versus parsimony in modeling technology adoption decisions: Understanding merchant adopadoption. Information Systems Research,, Volume 12, pp. 208-222.

      [63] Prashant, G., Seetharamana, A. & Rajb, J., 2013. The usage and adoption of Cloud Computing by small and Medium Businesses. International Journal of Information Management , Volume 33, pp. 861-870.

      [64] Ribeiro Dos Santos Leal, J., 2015. Explaining Organizational Adoption of Technology: The Case of Cloud Platforms for Internet of Things. University of Jyväskylä, Pp. 2-67.

      [65] Rijsdijk, S. A. & Hultink, E. J., 2003. “Honey, have you seen our hamster?†Consumer evaluations of autonomous domestic products. Journal of Product Innovation Management, Volume 20, pp. 204-216.

      [66] Rogers, E., 1995. Diffusion of innovations, Fourth Edition. New York, Free Press.

      [67] Ron, D., 2015. The Internet of Things: Opportunities and Challenges. Brussels, European Union.

      [68] Rosenzweig, J. & Bartl, M., 2015. A review and analysis of literature on autonomous driving. The Making-of Innovation, pp. 1-57.

      [69] Salim, B., 2012. An Application of UTAUT Model for Acceptance of Social Media in Egypt: A Statistical Study. International journal of Information Science, 2(6), pp. 95-105.

      [70] Santos, N., Gummadi, K. & Rodrigues, R., 2009. Towards trusted cloud computing. In Proceedings of hotcloud.

      [71] Schrank. D., Eisele, B., Lomax, T. & Bak, J., 2015. 2015 urban mobility scorecard. Texas, Texas A&M Transportation Institue and INRIX.

      [72] Sessa, C. Et al., 2013. Blueprint of alternative city cyber-mobility take-up scenarios. S.l., ISIS.

      [73] Shanker, R. Et al., 2013. Autonomous cars: self-driving the new auto industry paradigm. Morgan Stanley Blue Paper.

      [74] Silberg, G., 2012. Self-driving cars: the next revolution. S.l., KPMG LLP and the Center for Automotive Research.

      [75] Spillner, J., muller, J. & Schill, A., 2013. Creating optimal cloud storage systems. Future General Computer System, 29(4), pp. 1062-1072.

      [76] Sullivan, B. J. C., 2015. What will Drive the Future of Self-driving Cars?. New York, American Enterprise Institute.

      [77] Tesla, 2014. Dual motor Model S and Autopilo. [Online]
      Available at: http://www.teslamotors.com/blog/dual-motor-model-s-and-autopilot [Accessed 07 02 2017].

      [78] Thrun, S., 2010. Toward robotic cars.. S.l., Communications of the ACM.

      [79] U.S Department of Tansportation, 2012. Vehicle-to-Infrastructure (V2I) Communications for Safety. New Jersey Avenue, U.S Department of Tansportation.

      [80] Venkatesh, V., Morris, Davis & Davi, 2003. User Acceptance of Information and Communications Technology :Toward a Unified View. Management Information System Quarterly, 3(27), pp. 425-474

      [81] Volvo, 2014. Autopilot: travel calmer, safer, cleaner. [Online] Available at: http://www.volvocars.com/au/about/innovations/intellisafe/autopilot [Accessed 07 02 2016].

      [82] Wang, Y., Wang, Y. & and Yang, Y., 2010. Understanding the determinants of RFID adoption in the manufacturing industry. Technological Forecasting and Social Change, Volume 77, pp. 803-815

      [83] Wejnert, B., 2002. Integrating models of diffusion of innovations: a conceptual framework. Annual Review of Sociology, 28(1), pp. 297-326.

      [84] WHO, 2013. Global status report on road safety 2013: supporting a decade of action.. S.l., World Health Organization.

      [85] Wright, A., 2015. Automotive autonom. Communications of the ACM, 54(7), p. 16.

      [86] Yu, Y., Punihaole, P., Gerla, M. & and Sanadidi, M., 2012. Content Routing in the Vehicle Cloud. IEEE MILCOM.

      [87] Zhang, Q., Cheng, L. & Boutaba, R., 2010. Cloud computing: state-of-the-art and research challenges. Journal of internet services and applications, 1(1), pp. 7-18.

  • Downloads

  • How to Cite

    Vasudavan, H., Shanmugam, K., & Abdilaziz Ahmada, H. (2018). The adoption of cloud computing in autonomous vehicle. International Journal of Engineering & Technology, 7(2.33), 703-711. https://doi.org/10.14419/ijet.v7i2.33.15480

    Received date: 2018-07-13

    Accepted date: 2018-07-13

    Published date: 2018-06-08