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Personalized two-layer regional transportation control model for big events

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成果类型:
会议论文
作者:
Long Q.;Zhang J.
通讯作者:
Long, Q.
作者机构:
[Zhang J.] School of Civil Engineering, Hunan City University, Yiyang, China
School of Civil Engineering, Hunan City University, Yiyang,Hunan, China
[Long Q.] School of Civil Engineering, Hunan City University, Yiyang, China, School of Civil Engineering, Hunan City University, Yiyang,Hunan, China
通讯机构:
[Long, Q.] S
School of Civil Engineering, China
语种:
英文
关键词:
Big events;Compression particle swarm algorithm;Personalization;Transportation control model
期刊:
Frontiers in Artificial Intelligence and Applications
ISSN:
0922-6389
年:
2018
卷:
309
页码:
700-709
会议名称:
4th International Conference on Fuzzy Systems and Data Mining, FSDM 2018
会议时间:
15 November 2018 through 16 November 2018
主编:
Tallon-Ballesteros A.J.Li K.
出版者:
IOS Press
ISBN:
9781614999270
机构署名:
本校为第一机构
院系归属:
土木工程学院
摘要:
This paper proposed a personalized two-layer regional transportation control model for urban transportation control issues during big events. Firstly,this paper analyzed basic regional transportation control principles faced during big events and built a two-layer regional transportation control model that was both a personalized transportation management model and control model, which could fully reflect personalized experiences of transportation controllers. Then, based on particle swarm algorithm,this paper proposed a model optimization solu...

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