Introduction to parallelization of a quasi-anisotropic mesoscopic model for network traffic simulation

被引：3
|
作者：
Celikoglu, Hilmi B. [1 ]
Hudson, Randall V. [1 ]
Blum, Jeremy J. [1 ]
Ravi, Vijay K. [1 ]
机构：
[1] Penn State Univ, Dept Comp Sci & Math, Middletown, PA USA
来源：
2015 IEEE 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS | 2015年
关键词：
vehicular traffic simulation; high performance computing; parallelization; network optimization; SHORTEST-PATH; TABU SEARCH; IMPLEMENTATION; ASSIGNMENT; FLOW;
D O I：
10.1109/ITSC.2015.62
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
Considering the need for the efficient modeling and simulation of vehicular network traffic within temporal domain with reasonable computation load, we introduce a parallelized version of a previously proposed quasi-anisotropic meso-simulation model, used in dynamic network assignment in conjunction with heuristic routing optimization, using a parallel algorithm executed in a multi-threaded system. The use of the scheme is preliminarily discussed following a survey of the use of high performance computing in traffic simulation.
引用
收藏
页码：322 / 329
页数：8
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