Paper Info
Title
An erlang-based simulation approach of Artificial Transportation Systems
Abstract
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.
Year
DOI
Venue
2016
10.1109/ITSC.2016.7795526
2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)
Keywords
Field
DocType
Erlang-based simulation approach,artificial transportation systems,urbanization process,car ownership
Car ownership,Object-oriented modeling,Simulation,Computer science,Erlang (programming language),Acceleration,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-5090-1890-1
0
0.34
References 
Authors
3
3
Name
Order
Citations
PageRank
Songhang Chen181.21
Fenghua Zhu219333.75
Fei-Yue Wang35273480.21