Ad hoc distributed simulations

Proceedings - Workshop on Principles of Advanced and Distributed Simulation, PADS

Volumn , Issue , 2007, Pages 15-22

  Fujimoto, Richard ^a,b   Hunter, Michael ^a,c   Sirichoke, Jason ^a,b   Palekar, Mahesh ^a   Kim, Hoe ^a,b   Suh, Wonho ^a,b  

^a GOOGLE INC   (United States)

^b Computational Science and Engineering Division ^*

^c School of Civil and Environmental Engineering

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; INFORMATION MANAGEMENT; MATHEMATICAL MODELS; SYNCHRONIZATION;

AD HOC DISTRIBUTED SIMULATIONS; OPERATIONAL SYSTEMS; PROTOTYPE COUPLING;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 34948826519     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PADS.2007.10     Document Type: Conference Paper

References (17)

1. Werner, J. Details of the VII Initiative 'Work in Progress' Provided at Public Meeting. 2005 [cited 2005 April 15]; http://www.ntoctalks.com/icdn/ vii_pubmtg_v1.php.
2. Broadhurst, A., S. Baker, and T. Kanade. Monte Carlo Road Safety Reasoning. in IEEE Intelligent Vehicles Symposium. 2005.
3. Innamaa, S. and I. Kosonen, Online Traffic Models - A Learning Experience. Traffic Engineering & Control, 2004. 45(9): p. pp. 338-343.
4. Wang, H.L. and R.L. Cheu, Dynamic Routing Decisions For Commercial Vehicle Operations In Real-Time Traffic Conditions. Transportation Research Record, 2004(1882): p. 201-209.
5. Hafstein, S., et al., A High-Resolution Cellular Automata Traffic Simulation Model With Application In A Freeway Traffic Information System. Computer-Aided Civil and Infrastructure Engineering, 2004. 19(5): p. pp 338-350.
6. Nishikawa, I., S. Nakazawa, and H. Kita, Area-Wide Control Of Traffic Signals By A Phase Model. Transactions of the Soc of Instrument & Control Engineers, 2003. 39(2): p. 199-208.
7. Darema, F. Dynamic Data Driven Applications Systems: A New Paradigm for Application Simulations and Measurements. in International Conference on Computational Science. 2004.
8. Piale, B., D. Gannon, and D. Reed. Towards Dynamically Adaptive Weather Analysis and Forecasting in LEAD, in International Conference on Computational Science. 2005.
9. Mandel, J., L.S. Bennethum, and M. Chen. Towards a Dynamic Data Driven Application System for Wildfire Simulation, in International Conference on Computational Science. 2005.
10. Golubchik, L., D. Caron, and A. Das. A Generic Multi-scale Modeling Framework for Reactive Observing Systems: An Overview, in International Conference on Computational Science. 2006.
11. Kennedy, C. and G. Theodoropoulos. Intelligent Management of Data Driven Simulations to Support Model Building in the Social Sciences, in International Conference on Computational Science. 2006.
12. Brogan, D., P. Reynolds, Jr., and R. Bartholet. Semi-Automated Simulation Transformation for DDDAS. in International Conference on Computational Science. 2005.
13. Lendermann, P., et al. An Integrated and Adaptive Decision-Support Framework for High-Tech Manufacturing and Service Networks, in Proceedings of the 2005 Winter Simulation Conference. 2005.
14. Fujimoto, R.M., The Virtual Time Machine, in International Symposium on Parallel Algorithms and Architectures. 1989. p. 199-208.
15. Esser, J. and M. Schreckenberg, Microscopic Simulation of Urban Traffic Based on Cellular Automata. International Journal of Modern Physics C, 1997. 8(5): p. 1025-1036.
16. PTV, VISSIM User Manual 4.10. 2005, PTV Planung Transport Verkehr AG: Karlsruhe, Germany.
17. PTV, VISSIM COM, User Manual for the VISSIM COM Interface, VISSIM 4.10-12. 2006, PTV Planung Transport Verkehr AG: Karlsruhe, Germany.