An Erlang-based Simulation Approach of Artificial Transportation Systems

被引：0
|
作者：
Chen, Songhang [1 ,2 ]
Zhu, Fenghua [1 ,2 ]
Wang, Fei-Yue [1 ,2 ]
机构：
[1] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
[2] Qingdao Acad Intelligent Ind, Qingdao 266109, Shandong, Peoples R China
来源：
2016 IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) | 2016年
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
Artificial Transportation Systems (ATS) can support a variety of computational experiments for different purposes, and have become important tools for transportation research. However, when the road network modeled in ATS is large or there are a lot of vehicles, ATS will run very slow or even cannot be started due to the memory limit of a standalone computer. With the acceleration of urbanization process and rapid increase of car ownership, it is necessary to find a high-performance computing method for running large-scale ATS. Therefore, the paper presents an Erlang-based approach to realize concurrent and distributed computing of ATS. To verify the feasibility, a prototype is built, and a performance test is conducted. The results show the method can achieve the efficiency utilization of computing resources.
引用
收藏
页码：24 / 28
页数：5
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