A Cooperative System of GIS and BIM for Traffic Planning: A High-Rise Building Case Study

  • Jun Wang
  • Lei Hou
  • Heap-Yih Chong
  • Xin Liu
  • Xiangyu Wang
  • Jun Guo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8683)


Design of localized traffic is a decision-making process for producing the viable solutions of where the parking lots, roads, entrances, exits, and the associated facilities should be built. In a traditional design case, a planner may take into account numerous factors, such as economy, constructability, geological impacts, layout constraints, connection of localized and external traffic, etc., and the process is mainly relied on a master plan and two-dimensional design drawings. Such pattern has certain limitations as these important factors can hardly be overall considered at the same time. It is promising to cope with the issues using a cooperative system where Geographic Information System (GIS) incorporates with Building Information Modelling (BIM). The research aims to optimize and evaluate the site layout for effective traffic planning based on the integrative approach of BIM and GIS. From the case study, the paper also demonstrates: 1) the approach of analyzing the statistical data to represent the existing traffic condition around the building via GIS and 2) the approach of making use of the advanced vehicle simulation models to optimizing the localized traffic facilities design, considering the possible impact of the localized traffic to the ambient traffic. Referring to the cooperative system, the bottlenecks of the initial design of parking facilities are identified, and the corresponding improvements are suggested.


Traffic Flow Augmented Reality Office Building Building Information Modeling Cooperative System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Managing Urban Traffic Congestion,
  2. 2.
    Jain, R.: Congestion Control and Traffic Management in ATM Networks: Recent Advances and a Survey. Computer Networks and ISDN Systems 28(13), 1723–1738 (1996)CrossRefGoogle Scholar
  3. 3.
    Cheng, M.Y., Yang, S.C.: GIS-based Cost Estimates Integrating with Material Layout Planning. Journal of Construction Engineering and Management 127, 291–299 (2001)CrossRefGoogle Scholar
  4. 4.
    Ma, Z., Shen, Q., Zhang, J.: Application of 4D for Dynamic Site Layout and Management of Construction Projects. Automation in Construction 14(3), 369–381 (2005)CrossRefGoogle Scholar
  5. 5.
    Chiu, Y.C., Zhou, X., Hernandez, J.: Evaluating Urban Downtown One-way to Two-way Street Conversion using Multiple Resolution Simulation and Assignment Approach. Journal of Urban Planning and Development 133(4), 222–232 (2007)CrossRefGoogle Scholar
  6. 6.
    Bustillos, B.I., Shelton, J., Chiu, Y.C.: Urban University Campus Transportation and Parking Planning through a Dynamic Traffic Simulation and Assignment Approach. Transportation Planning and Technology 34(2), 177–197 (2011)CrossRefGoogle Scholar
  7. 7.
    Wang, Y., Wang, X., Wang, J., Yung, P., Jun, G.: Engagement of Facilities Management in Design Stage through BIM: Framework and a Case Study. Advances in Civil Engineering (2013)Google Scholar
  8. 8.
    Park, C.S., Lee, D.Y., Kwon, O.S., Wang, X.: A Framework for Proactive Construction Defect Management using BIM, Augmented Reality and Ontology-based Data Collection Template. Automation in Construction 33, 61–71 (2013)CrossRefGoogle Scholar
  9. 9.
    Wang, X., Love, P.: BIM+ AR: Onsite Information Sharing and Communication via Advanced Visualization. Paper presented at the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design (2012)Google Scholar
  10. 10.
    Wang, X., Truijens, M., Hou, L., Wang, Y., Zhou, Y.: Integrating Augmented Reality with Building Information Modeling: Onsite construction process controlling for liquefied natural gas industry. Automation in Construction 40, 96–105 (2013)CrossRefGoogle Scholar
  11. 11.
    Wang, X., Love, P.E., Kim, M.J., Park, C.-S., Sing, C.P., Hou, L.: A Conceptual Framework for Integrating Building Information Modeling with Augmented Reality. Automation in Construction 34, 37–44 (2013)CrossRefGoogle Scholar
  12. 12.
    Kovacic, I., Oberwinter, L., Müller, C., Achammer, C.: The BIM-sustain Experiment–simulation of BIM-supported Multi-disciplinary Design. Visualization in Engineering 1(1), 1–11 (2013)CrossRefGoogle Scholar
  13. 13.
    Zhu, Z., Donia, S.: Spatial and Visual Data Fusion for Capturing, Retrieval, and Modeling of As-built Building Geometry and Features. Visualization in Engineering 1(1), 1–10 (2013)CrossRefGoogle Scholar
  14. 14.
    Shin, D.H., Dunston, P.S., Wang, X.: View Changes in Mixed Reality-based Collaborative Virtual Environments. ACM Transactions on Applied Perception, Association for Computing Machinery (ACM) 2(1), 1–14 (2005)CrossRefGoogle Scholar
  15. 15.
    Wang, X.: Using Augmented Reality to Plan Virtual Construction Worksite. International Journal of Advanced Robotic Systems 4(4), 501–512 (2007)Google Scholar
  16. 16.
    Wang, X., Schnabel, M.A.: Mixed Reality in Architecture, Design, and Construction. Springer (2009) ISBN: 978-1-4020-9087-5Google Scholar
  17. 17.
    Zhang, C., Zhao, K., Li, J.Q.: BIM Application Analysis in Transportation Project. Advanced Materials Research 671, 2986–2989 (2013)CrossRefGoogle Scholar
  18. 18.
    Cho, A.: Document Building Information Modeling Boosters are Crossing That Bridge. ENR (Engineering News-Record) 263(5), 28–29 (2009)Google Scholar
  19. 19.
    Hammond, R.: BIM Transportation Sector: LiDAR and Mobile MappingGoogle Scholar
  20. 20.
    Berglund, S.: GIS in transport modelling. Royal Institute of Technology, Department of Infrastructure. Report, 2001 (2013)Google Scholar
  21. 21.
    Keshkamat, S., Looijen, J., Zuidgeest, M.: The Formulation and Evaluation of Transport Route Planning Alternatives: a Spatial Decision Support System for the Via Baltica Project, Poland. Journal of Transport Geography 17(1), 54–64 (2009)CrossRefGoogle Scholar
  22. 22.
    Maguire, D.J., Goodchiled, M., Rhinds, D.: An Overview and Definition of GIS. In: Geographical Information Systems: Principals and Applications, pp. 9–20 (1991)Google Scholar
  23. 23.
    ESRI Inc. ArcGIS. Redlands (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jun Wang
    • 1
  • Lei Hou
    • 1
  • Heap-Yih Chong
    • 1
  • Xin Liu
    • 1
  • Xiangyu Wang
    • 1
  • Jun Guo
    • 2
  1. 1.Australasian Joint Research Centre for Building Information ModellingCurtin UniversityAustralia
  2. 2.CCDI GroupChina

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