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

页码：322 / 329

页数：8

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