Large-scale dynamic transportation network simulation: A space-time-event parallel computing approach

Author:

Qu Yunchao,Zhou Xuesong

Funder

National Science Foundation – United States

U.S. Department of Energy’s (DOE) Advanced Research Projects Agency – Energy

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference61 articles.

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2. POLARIS: agent-based modeling framework development and implementation for integrated travel demand and network and operations simulations;Auld;Transp. Res. Part C: Emerg. Technol.,2016

3. Barceló, J., Ferrer, J.L., García, D., Florian, M., Le Saux, E., 1996. The distributedization of AIMSUN2 microscopic simulator for ITS applications. In: Proc. 3rd. World Congress on Intelligent Transport Systems, Orlando.

4. Ben-Akiva, M.E., Bierlaire, M., Burton, D., Koutsopoulos, H.N., Mishalani, R., 2002. Network state estimation and prediction for real-time transportation management applications. Paper presented at the Transportation Research Board 81st Annual Meeting.

5. Bryant, R.E., 1977. Simulation of Packet Communication Architecture Computer Systems. Technical Report MIT-LCS-TR-188, MIT.

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