Back
 IJCNS  Vol.7 No.11 , November 2014
Technical Possibilities of Cloud-Based Virtual Reality Implementing Software as a Service for Online Collaboration in Urban Planning
Abstract: In this paper we discuss the technical possibilities of cloud-based virtual reality (cloud-based VR) computing tools for online collaboration in urban planning and design. We first create a digital asset representing our design proposal of a pedestrian bridge in Shibuya, Tokyo. A platform for cloud-based VR technology, i.e., a VR-Cloud server, is used to open the VR dataset to public collaboration over the Internet. The digital asset representing the design scheme of our pedestrian bridge includes buildings, roads, trees and street furniture for the entire urban area. The vehicles and people are designed and inputted into the virtual world of the urban area, in which they run and walk with predefined behaviour scenarios. Users share the VR world by accessing the VR-Cloud servers from remote clients, using cloud communication software to review vehicle and pedestrian crowd simulations and discuss the design concepts. Meanwhile, we compare the advantages and disadvantages of three cloud-based VR tools on their technical support for net collaboration: 1) VR-Cloud; 2) Google Earth; and 3) 3DVIA.
Cite this paper: Shen, Z. , Ma, Y. , Sugihara, K. , Lei, Z. and Shi, E. (2014) Technical Possibilities of Cloud-Based Virtual Reality Implementing Software as a Service for Online Collaboration in Urban Planning. International Journal of Communications, Network and System Sciences, 7, 463-473. doi: 10.4236/ijcns.2014.711047.
References

[1]   Grozev, N. and Buyya, R. (2014) Inter-Cloud Architectures and Application Brokering: Taxonomy and Survey. Software: Practice and Experience, 44, 369-390. http://dx.doi.org/10.1002/spe.2168

[2]   Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J. and Brandic, I. (2009) Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility. Future Generation Computer Systems, 25, 599-616. http://dx.doi.org/10.1016/j.future.2008.12.001

[3]   Farber, D. (2008) The New Geek Chic: Data Centers. CNET News, 2008-06-25.

[4]   Chowdhury, G. (2012) Building Environmentally Sustainable Information Services: A Green IS Research Agenda. Journal of the American Society for Information Science and Technology, 63, 633-647. http://dx.doi.org/10.1002/asi.21703

[5]   Grover, J. (2013) Android Forensics: Automated Data Collection and Reporting from a Mobile Device. Digital Investigation, 10, S12-S20. http://dx.doi.org/10.1016/j.diin.2013.06.002

[6]   Ngai, E.C.-H. and Gunningberg, P. (2013) Quality-of-Information-Aware Data Collection for Mobile Sensor Networks. Pervasive and Mobile Computing, 11, 203-215.
http://dx.doi.org/10.1016/j.pmcj.2013.07.012

[7]   Michael, K. and Clarke, R. (2013) Location and Tracking of Mobile Devices: Uberveillance Stalks the Streets. Computer Law & Security Review, 29, 216-228. http://dx.doi.org/10.1016/j.clsr.2013.03.004

[8]   de Vries, N.J., Davel, M.H., Badenhorst, J., Basson, W.D., de Wet, F., Barnard, E. and de Waal, A. (2014) A Smartphone-Based ASR Data Collection Tool for Under-Resourced Languages. Speech Communication, 56, 119-131.http://dx.doi.org/10.1016/j.specom.2013.07.001

[9]   Ma, X., Cui, Y. and Stojmenovic, I. (2012) Energy Efficiency on Location Based Applications in Mobile Cloud Computing: A Survey. Procedia Computer Science, 10, 577-584.
http://dx.doi.org/10.1016/j.procs.2012.06.074

[10]   Laurila, J.K., Perez, D.G., Aada, I., Bloma, J., Bornet, O., Dob, T.M.T., Doussea, O., Eberle, J. and Miettinen, M. (2013) From Big Smartphone Data to Worldwide Research: The Mobile Data Challenge. Pervasive and Mobile Computing, 9, 752-771. http://dx.doi.org/10.1016/j.pmcj.2013.07.014

[11]   Whaiduzzaman, M., Sookhak, M., Gani, A. and Buyya, R. (2013) A Survey on Vehicular Cloud Computing. Journal of Network and Computer Applications, 40, 325-344.

[12]   Huang, Q.Y., Yang, C.W., Liu, K., Xia, J.Z., Xu, C., Li, J., Gui, Z.P., Sun, M. and Li, Z.L. (2013) Evaluating Open-Source Cloud Computing Solutions for Geosciences. Computers & Geosciences, 59, 41-52. http://dx.doi.org/10.1016/j.cageo.2013.05.001

[13]   Guan, H.Y., Li, J., Zhong, L., Yu, Y.T. and Chapman, M. (2013) Process Virtualization of Large-Scale Lidar Data in a Cloud Computing Environment. Computers & Geosciences, 60, 109-116.
http://dx.doi.org/10.1016/j.cageo.2013.07.013

[14]   Marques, R., Feijo, B., Breitman, K., Gomes, T., Ferracioli, L. and Lopes, H. (2013) A Cloud Computing Based Framework for General 2D and 3D Cellular Automata Simulation. Advances in Engineering Software, 65, 78-89. http://dx.doi.org/10.1016/j.advengsoft.2013.05.014

[15]   Couclelis, H. (2005) “Where Has the Future Gone?” Rethinking the Role of Integrated Land-Use Models in Spatial Planning. Environment and Planning A, 37, 1353-1371.
http://dx.doi.org/10.1068/a3785

[16]   Jiao, Y., Zhang, S.H., Li, Y.K., Wang, Y.H. and Yang, B.M. (2013) Towards Cloud Augmented Reality for Construction Application by BIM and SNS Integration. Automation in Construction, 33, 37-47.
http://dx.doi.org/10.1016/j.autcon.2012.09.018

[17]   Hildebrandt, D. and Döllner, J. (2010) Service-Oriented, Standards-Based 3D Geovisualization: Potential and Challenges. Computers, Environment and Urban Systems, 34, 484-495.
http://dx.doi.org/10.1016/j.compenvurbsys.2010.05.003

[18]   Spickermann, A., Grienitz, V. and von der Gracht, H.A. (2013) Heading towards a Multimodal City of the Future? Multi-Stakeholder Scenarios for Urban Mobility. Technological Forecasting and Social Change. http://dx.doi.org/10.1016/j.techfore.2013.08.036

[19]   Ghaemi, P., Swift, J., Sister, C., Wilson, J.P. and Wolch, J. (2009) Design and Implementation of a Web-Based Platform to Support Interactive Environmental Planning. Computers, Environment and Urban Systems, 33, 482-491. http://dx.doi.org/10.1016/j.compenvurbsys.2009.05.002

[20]   Li, S.L. (2005) A Web-Enabled Hybrid Approach to Strategic Marketing Planning: Group Delphi + a Web-Based Expert System. Expert Systems with Applications, 29, 393-400.
http://dx.doi.org/10.1016/j.eswa.2005.04.018

[21]   Rao, M., Fan, G.L., Thomas, J., Cherian, G., Chudiwale, V. and Awawdeh, M. (2007) A Web-Based GIS Decision Support System for Managing and Planning USDA’s Conservation Reserve Program (CRP). Environmental Modelling & Software, 22, 1270-1280.
http://dx.doi.org/10.1016/j.envsoft.2006.08.003

[22]   Angeli, D. and Masala, E. (2012) A Cost-Effective Cloud Computing Framework for Accelerating Multimedia Communication Simulations. Journal of Parallel and Distributed Computing, 72, 1373-1385. http://dx.doi.org/10.1016/j.jpdc.2012.06.005

[23]   Ma, Y., Shen, Z.J., Gao, X.L. and Dang, A.R. (2013) Synthesizing Service Resources in Support for Urban-Rural Planning: Status and Prospects. Progress in Geography, 32, 1670-1680.

[24]   Sun, A. (2013) Enabling Collaborative Decision-Making in Watershed Management Using Cloud-Computing Services. Environmental Modelling & Software, 41, 93-97.
http://dx.doi.org/10.1016/j.envsoft.2012.11.008

[25]   Bernhart, W., Grosse, K.P. and Hoffmann, M. (2011) Automotive Landscape 2025: Opportunities and Challenges Ahead. Roland Berger Strategy Consultants, Munich.

[26]   Shen, Z.J. and Kawakami, M. (2010) An Online Visualization Tool for Internet-Based Local Townscape Design. Computers, Environment and Urban Systems, 34, 104-116.
http://dx.doi.org/10.1016/j.compenvurbsys.2009.09.002

[27]   Shen, Z.J. and Kawakami, M. (2007) Study on Visualization of Townscape Rules Using VRML for Public Involvement. Journal of Asian Architecture and Building Engineering, 6, 119-126.
http://dx.doi.org/10.3130/jaabe.6.119

[28]   Shen, Z.J., Lei, Z.H., Li, X.F. and Sugihara, K. (2013) Design Coordination Regarding Urban Design Guidelines Using Google Earth. International Review for Spatial Planning and Sustainable Development, 1, 53-68. http://dx.doi.org/10.14246/irspsd.1.3_53

[29]   Shen, Z.J., Kawakami, M., Chen, Z.Y. and Peng, L.Q. (2012) Historical Landscape Restoration Using Google Technology in a Traditional Temple Area, Kanazawa, Japan. In: Geospatial Techniques in Urban Planning, Advances in Geographic Information Science, Springer, Berlin, 241-261.
http://dx.doi.org/10.1007/978-3-642-13559-0_12

 
 
Top