A novel integrated approach to project-level Automated Machine Control/Guidance systems in construction projects

Journal of Information Technology in Construction

Volumn 18, Issue , 2013, Pages 162-181

  Hammad, Amin ^a   Vahdatikhaki, Faridaddin ^a   Zhang, Cheng ^b  

^a Dept of Electrical and Computer Engineering   (Canada)

^b XI AN JIAOTONG LIVERPOOL UNIVERSITY   (China)

Author keywords

Administrative process re engineering; Automated Machine Control; Multi agent system; Real time simulation

Indexed keywords

ADMINISTRATIVE PROCESS; AUTOMATED MACHINES; CONSTRUCTION PROJECTS; DIGITAL TERRAIN MODEL; MULTI AGENT SYSTEM (MAS); MULTIAGENT ARCHITECTURE; OPTIMAL APPLICATIONS; REAL TIME SIMULATIONS;

INTEGRATED CONTROL; MULTI AGENT SYSTEMS; STRESS INTENSITY FACTORS;

AUTOMATION;

EID: 84878336739     PISSN: 14036835     EISSN: 14006529     Source Type: Journal    
DOI: None     Document Type: Article

References (32)

1. Beavers, J. E., Moore, J. R., Rinehart, R., & Schriver, W. R. (2006). Crane-related fatalities in the construction industry. Journal of Construction Engineering and Management, 132(9), 901-910.
2. Dunston, P. S., & Monty, J. (2009). Practices for seamless transmission of design data from design phase to construction equipment operation - a synthesis study. West Lafayette, Indiana: Purdue University.
3. Durfee, E. (1999). Distributed Problem Solving and Planning. In G. Weiss (Ed.), Multi-Agent Systems and Applications (pp. 121-164). Cambridge: MIT Press.
4. Frantzen, C., Kirn, S., Kaak, M., & Sturm, A. (2010). Research project AutoBauLog - Automatic control in construction logistics. Proceeding of the 2nd International Conference on Machine Control and Guidance. Bonn.
5. Halpin, D. W., & Martinez, L. H. (1999). Real World Applications of Construction Process Simulation. Proceeding of the 1999 Winter Simulation Conference: Simulation-a bridge to the future, (pp. 956 - 962).
6. Hammad, A., & Zhang, C. (2011). Towards real-time simulation of construction activities considering spatio-temporal resolution requirements for improving safety and productivity. Winter Simulation Conference. Phoenix.
7. Hassan, M. M., & Gruber, S. (2008). Simulation of Concrete Paving Operations on Interstate-74. Journal of Construction Engineering and Management, 134(2), 2-9. (Pubitemid 350265372)
8. Hobby Engine. (2013, February 13). Retrieved from Hobby Engine: Http://www.hobbyengine.com.hk/catalog/product.php?cid=31
9. Jahren, C. T. (2011). Status of NCHRP Project 10-77, Use of Automatic Machine Guidance within the Transportation Industry. Subcommittee on Construction Annual Meeting.
10. Jamasmie, C. (2010). The mine of the future might be a thing of the past. Retrieved from http://MINING.com
11. JCMMRI. (2012). Japan Construction Methods and Machinery Research Institute. Retrieved from http://www.jcmanet.or.jp/english/cmi.html
12. Lockhart, J. H. (2004). Subsurface utility engineering : a feasibility study and guideline for Naval Facilities Engineering Command : an independent research study. Purdue University.
13. Lu, M., Dai, F., & Chen, W. (2007). Real-time decision support for planning concrete plant operations enabled by integrating vehicle tracking technology, simulation, and optimization. Canadian Journal of Civil Engineering, 34, 912-922. (Pubitemid 350141828)
14. Mawlana, M., Hammad, A., Doriani, A., & Setayeshgar, S. (2012). Discrete event simulation and 4D modeling for elevated highway reconstruction projects. 14th International Conference on Computing in Civil and Building Engineering. Moscow, Russia: Publishing House ̃ASṼ.
15. Noland, R. (2010). Site connectivity - Positioning & machine control's next technology step, Machine Control Online. Retrieved from http://machinecontrolonline.com/content/view/6390/136/
16. Perkinson, C. L., Bayraktar, M. E., & Ahmad, I. (2010). The use of computing technology in highway construction as a total jobsite management tool. Automation in Construction, 19(7), 884-897.
17. Peyret, F., Jurasz, J., Carrel, A., Zekri, E., & Gorham, B. (2000). The computer integrated road construction project. Automation in Construction, 9(5-6), 447-461.
18. Rausch, P., Schreiber, F., & Diegelmann, M. (2010). Close loop cotrolling approaches for projects in the earth moving and road construction industry. Proceeding of the 2nd International Conference on Machine Control and Guidance. Bonn.
19. Russell, S., & Norvig, P. (2003). Artificial Intelligence, A Modern Approach, Englewood Cliffs, NJ: Prentice Hall.
20. Shoham, Y., & Leyton-Brown, K. (2009). Multiagent Systems. Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge University Press.
21. Song, L., Ramos, F., & Arnold, K. (2008). A framework for real-time simulation of heavy construction operations. In S. J. Mason, R. R. Hill, L. Monch, O. Rose, T. Jefferson, & W. Fowler (Ed.), Proceeding of the 2008 Winter Simulation Conference, (pp. 2387-2395). Piscataway, New Jersey.
22. Torres, H. N., & Ruiz, M. (2011). Improving Highway Project Delivery. TRB Annual Meeting. Washington, D.C.
23. Ubisense. (2013, February 13). Retrieved from Ubisence: http://www.ubisense.net/en/
24. Vonderohe, A. P. (2007). Implementaion of GPS controlled Highway Construction Equipment. University of Wisconsin. Construction Materials and Support Center.
25. Vonderohe, A. P. (2009). Report of status and plans for implementing technologies for design and con-struction in WisDOT. University of Wisconsin. Construction Materials and Support Center.
26. Vonderohe, A. P., & Hintz, C. (2010). 3D Design Terrain Models for construction plans and GPS control of highway construction equipment. University of Wisconsin. Construction Materials and Support Center.
27. Yabuki, N. (2011). 3D Data for Machine Control & Machine Guidance in Construction. Asia Construction Information Technology Round Table Meeting. Seoul, Korea.
28. Zayed, M. T., & Halpin, D. (2001). Simulation of Concrete Batch Plant Production. Journal of Construction Engineering and Management, 127(2), 132-141. (Pubitemid 32297261)
29. Zhang, C., & Hammad, A. (2012). Multi-agent approach for real-time collision avoidance and path re-planning on construction sites. Journal of Computing in Civil Engineering, (In Press and available on http://ascelibrary. org/doi/abs/10.1061/%28ASCE%29CP.1943-5487.0000181).
30. Zhang, C., Hammad, A., & Albahnassi, H. (2009). Collaborative multi-agent systems for construction equipment based on real-time field data capturing. ITcon, 14, 204-228, http://www.itcon.org/2009/16.
31. Zhang, C., Hammad, A., & Bentahar, J. (2011). Multi-agent-based approach for real-time collision avoidance and path re-planning on construction sites. 28th International Symposium on Automation and Robotics in Construction. Seoul.
32. Zhang, C., Hammad, A., & Rodriguez, S. (2012). Crane pose estimation using UWB real-time location system. Journal of Computing in Civil Engineering. 26(5), 625-637