Modeling and impact analysis of connected vehicle merging accounting for mainline random length tight-platoon

被引：18

作者：

Xin, Qi ^{[1
]}

Fu, Rui ^{[1
]}

Ukkusuri, Satish, V ^{[2
]}

Yu, Shaowei ^{[3
]}

Jiang, Rui ^{[4
]}

机构：

[1] Changan Univ, Sch Automobile, Xian 710064, Peoples R China

[2] Purdue Univ, Lyles Sch Civil Engn, W Lafayette, IN 47907 USA

[3] Changan Univ, Sch Transportat Engn, Xian 710064, Peoples R China

[4] Beijing Jiaotong Univ, Inst Syst Sci, Beijing 100044, Peoples R China

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2021年 / 563卷

基金：

中国国家自然科学基金;

关键词：

Merging advisory model; Consensus platoon; Rolling horizon control; Finite state machine; Virtual vehicle mapping; CONCAVE GROWTH-PATTERN; AUTONOMOUS VEHICLES; STRATEGY; SIMULATION;

D O I：

10.1016/j.physa.2020.125452

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

To reveal impacts of tight-platoon on connected vehicle (CV) merging, a merging advisory model is proposed to account for mainline random length tight-platoon. The tight-platoon is modeled by a consensus based algorithm with constant spacing under looking forward communication topologies, and string stabilities are analyzed to ensure robustness against gap disturbances. To ensure traffic safety, a floating merging point speed advisory model (FMP-SAM) based on finite state machine and virtual vehicle mapping is proposed to address merging conflicts. Besides, a rolling horizon control is employed in FMP-SAM to smooth speed trajectory of merging leader during gap adaption. Simulations results indicate that encouraging CV to drive in tight-platoon can improve safety, enhance mobility, conserve fuel consumption, reduce congestion and improve road capacity at higher traffic demand. Besides, FMP-SAM can improve FE performance greatly without sacrificing other performance metrics when compared with baseline merging advisory model. (C) 2020 Elsevier B.V. All rights reserved.

引用

页数：21

共 36 条

[11] A dynamic automated lane change maneuver based on vehicle-to-vehicle communication [J].

Luo, Yugong ;

Xiang, Yong ;

Cao, Kun ;

Li, Keqiang .

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 62 :87-102

[12]

Milanes V., 2010, INTELLIGENT TRANSPOR, V12, P500, DOI DOI 10.1109/TITS.2010.2096812

[13] Optimal vehicle trajectory planning in the context of cooperative merging on highways [J].

Ntousakis, Ioannis A. ;

Nikolos, Loannis K. ;

Papageorgiou, Markos .

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 71 :464-488

[14] Delayed-feedback control in a car-following model with the combination of V2V communication [J].

Peng, Guanghan ;

Yang, Shuhong ;

Xia, Dongxue ;

Li, Xiaoqin .

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 526

[15] A Survey on the Coordination of Connected and Automated Vehicles at Intersections and Merging at Highway On-Ramps [J].

Rios-Torres, Jackeline ;

Malikopoulos, Andreas A. .

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 18 (05) :1066-1077

[16] Automated and Cooperative Vehicle Merging at Highway On-Ramps [J].

Rios-Torres, Jackeline ;

Malikopoulos, Andreas A. .

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 18 (04) :780-789

[17] Definition of a merging assistant strategy using intelligent vehicles [J].

Scarinci, Riccardo ;

Hegyi, Andreas ;

Heydecker, Benjamin .

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2017, 82 :161-179

[18] Analysis of Traffic Performance of a Merging Assistant Strategy Using Cooperative Vehicles [J].

Scarinci, Riccardo ;

Heydecker, Benjamin ;

Hegyi, Andreas .

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 16 (04) :2094-2103

[19] Control Concepts for Facilitating Motorway On-ramp Merging Using Intelligent Vehicles [J].

Scarinci, Riccardo ;

Heydecker, Benjamin .

TRANSPORT REVIEWS, 2014, 34 (06) :775-797

[20]

[苏锑 Su Ti], 2018, [自动化学报, Acta Automatica Sinica], V44, P35

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