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Modeling and Analysis of Driving Behaviour for Heterogeneous Traffic Flow Considering Market Penetration under Capacity Constraints

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成果类型:
期刊论文
作者:
Zhou, Zhaoming;Yuan, Jianbo;Zhou, Shengmin;Long, Qiong;Cai, Jianrong;...
通讯作者:
Jianbo Yuan
作者机构:
[Yuan, Jianbo; Zhou, Zhaoming] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410114, Peoples R China.
[Long, Qiong; Cai, Jianrong; Zhou, Zhaoming; Zhang, Lei] Hunan City Univ, Coll Civil Engn, Yiyang 413000, Peoples R China.
[Zhou, Shengmin] Xiangtan Technol Res Ctr Urban Planning Informat, Xiangtan 411100, Peoples R China.
通讯机构:
[Jianbo Yuan] S
School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, China<&wdkj&>Author to whom correspondence should be addressed.
语种:
英文
关键词:
heterogeneous traffic flow;autonomous vehicles;capacity;market penetration;bi-level programming
期刊:
Sustainability
ISSN:
2071-1050
年:
2023
卷:
15
期:
4
页码:
2923-
基金类别:
Conceptualization, Z.Z. and J.Y.; methodology, J.C. and S.Z.; software, Z.Z.; validation, J.Y. and Q.L.; formal analysis, Z.Z. and L.Z.; investigation, J.C. and L.Z.; resources, Z.Z. and J.Y.; data curation, S.Z.; writing—original draft preparation, Z.Z.; writing—review and editing, Z.Z. and J.Y.; visualization, Z.Z. and S.Z.; supervision, Q.L. and J.Y.; project administration, Z.Z. and J.Y.; funding acquisition, Z.Z. and J.Y. All authors have read and agreed to the published version of the manuscript. This research was funded by National Natural Science Foundation of China (Grant No. 51578080), Scientific Research Foundation of Hunan Provincial Education Department (Grant No. 20C0375, No. 20A093), Postgraduate Scientific Research Innovation Project of Hunan Province (Grant No. CX20210749), Hunan Provincial Natural Science Foundation of China (Grant No. 2021JJ40025), Open Fund of Engineering Research Center of Catastrophic Prophylaxis and Treatment of Road & Traffic Safety of Ministry of Education (Grant No. kfj190406).
机构署名:
本校为第一机构
院系归属:
交通运输工程学院
摘要:
Based on analytical and simulation methods, this paper discusses the path choice behavior of mixed traffic flow with autonomous vehicles, advanced traveler information systems (ATIS) vehicles and ordinary vehicles, aiming to promote the development of autonomous vehicles. Firstly, a bi-level programming model of mixed traffic flow assignments constrained by link capacity is established to minimize travel time. Subsequently, the algorithm based on the incremental allocation method and method of successive averages is proposed to solve the model. Through a numerical example, the road network cap...

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