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The balanced distribution of mixed traffic flow at urban intersection based on fuzzy ant colony algorithm

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成果类型:
期刊论文
作者:
Xiong H.H.;Jiang J.S.;He C.;Dissanayake S.
通讯作者:
He, C.
作者机构:
[Xiong H.H.] School of Architecture and Urban planning, Hunan City University, Yiyang, 413000, China
Department of Architecture and Art, Central south University, Changsha, 410012, China
[He C.] School of Architecture, Changsha University of Science and Technology, Changsha, 410114, China
[Dissanayake S.] College of Engineering, Kansas State University, Manhattan, KS 66506, United States
[Jiang J.S.] School of Architecture and Urban planning, Hunan City University, Yiyang, 413000, China, Department of Architecture and Art, Central south University, Changsha, 410012, China
通讯机构:
[He, C.] S
School of Architecture, China
语种:
英文
关键词:
balanced distribution;fuzzy ant colony algorithm;mixed traffic flow;urban roads
期刊:
Advances in Transportation Studies
ISSN:
1824-5463
年:
2023
卷:
1
期:
Special Issue
页码:
111-122
基金类别:
This work was supported by Key Laboratory of Key Technologies of Digital Urban-Rural Spatial Planning ofHunan Province (2018TP1042).
机构署名:
本校为第一机构
院系归属:
建筑与城市规划学院
摘要:
In order to solve the problems of traffic flow distribution, such as low equalization coefficient and large error, a balanced allocation method of mixed traffic flow at urban intersection based on fuzzy ant colony algorithm was proposed. Firstly, set the equivalent car unit conversion coefficient of different vehicles in the mixed traffic, and analyze the traffic composition. Secondly, determine the traffic intensity at the intersection and the average value of vehicles in the queue, build the car-following model at the intersection, and comple...

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