Cooperative Merging for Multiple Connected and Automated Vehicles at Highway On-Ramps via Virtual Platoon Formation

Huang, Zehao; Zhuang, Weichao; Yin, Guodong; Xu, Liwei; Luo, Kai

doi:10.23919/chicc.2019.8866378

Cited by 13 publications

(2 citation statements)

References 13 publications

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“…Lu and Hedrick [35] mapped the merging vehicle to the middle position between two adjacent vehicles on the main lane, and the merging vehicle must arrive at the merging point at the proper time by adjusting velocity through acceleration or deceleration before driving out. Huang et al [36] proposed a cooperative merging strategy that projected vehicles on the ramp onto the main road to form a virtual vehicle platoon, and a bidirectional communication topology was used to achieve the vehicle intercommunications. Furthermore, a distributed controller based on the feedback linearization method was designed to ensure inner-vehicle closed-loop stability for the virtual platoon with derived feedback gains.…”

Section: Cooperative Optimization For On-ramp and Main Roadmentioning

confidence: 99%

A Cooperative Trajectory Optimization Algorithm for Connected Vehicles in Merging Zones

Yun

Chen

et al. 2022

Journal of Advanced Transportation

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Traffic flow optimization and trajectory guidance in merging zones have significant implications for improving capacity and reducing time consumption. The development of V2X communication provides new insights to solve this problem by tackling the information and releasing trajectories schemes. Therefore, this paper aims to discuss the trajectory management in the merging zone for ACC vehicles. A vehicle dispatching and car-following model is proposed to generate steady traffic flow first. An algorithm framework for consecutive traffic flow is presented with the idea of FIFO rules. Then, a two-step method for an individual vehicle is discussed in detail to compute a trajectory. The first step is to select and determine the priority of the optional gaps. The next step is to verify the options’ feasibility, decide on the target gap, and output the trajectories to merge successfully. Numerical experiments validate that the proposed method guarantees safe driving and provides relatively smooth trajectories to the vehicles. Furthermore, increased capacity and higher velocity are observed in a comparative experiment. The cooperative optimization algorithm could be applied efficiently in practice and benefit from its rapid response and low computation complexity.

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Section: Cooperative Optimization For On-ramp and Main Roadmentioning

confidence: 99%

A Cooperative Trajectory Optimization Algorithm for Connected Vehicles in Merging Zones

Yun

Chen

et al. 2022

Journal of Advanced Transportation

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“…Besides virtual vehicle mapping, other distributed approaches were also developed by different researchers. For example, Wang et al proposed a distributed consensus-based CAV coordination system [29], and Huang et al applied a distributed controller based on a feedback linearization method to ensure the inner-vehicle closed-loop stability of a virtual platoon with derived feedback gains [30].…”

Section: Cooperative Ramp Merging For Cavsmentioning

confidence: 99%

Corridor-Wise Eco-Friendly Cooperative Ramp Management System for Connected and Automated Vehicles

Zhao

Barth

2021

Sustainability

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Safety, mobility, and environmental sustainability are three fundamental issues that our transportation system has been confronting for decades. Intelligent transportation systems (ITS) aim to address these problems by leveraging disruptive technologies, such as connected and automated vehicles (CAVs). The cooperative potential of CAVs enable more efficient maneuvers and operation of a group of vehicles, or even the entire traffic system. In addition, CAVs may couple with other emerging technologies such as electrification to boost overall system performance and to further mitigate the aforementioned issues. In this study, we propose a hierarchical eco-friendly cooperative ramp management system, where macroscopically, a stratified ramp metering algorithm, is deployed to coordinate all of the ramp inflow rates along a corridor according to the real-time traffic condition; microscopically, a model predictive control (MPC)-based algorithm is designed for the detailed speed control of individual CAVs. Using the shared information from CAVs, the proposed ramp management system can smooth traffic flow, improve system mobility, and decrease the energy consumption of the network. Moreover, traffic simulation has been conducted using PTV VISSIM under various congestion levels for vehicles with different powertrain types, i.e., an internal combustion engine and an electric motor. Compared to conventional ramp metering, the proposed ramp management system may improve mobility by 48.6–56.7% and save energy by 24.0–35.1%. Compared to no control scenarios, savings in travel time and energy consumption are in the ranges of 79.4–89.1% and 0.8–2.5%, respectively.

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A time and energy efficient merging control for platoon formation of connected and automated electric vehicles at on-ramps

Li,

Ding,

et al. 2024

Nonlinear Dyn

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Cooperative Merging for Multiple Connected and Automated Vehicles at Highway On-Ramps via Virtual Platoon Formation

Cited by 13 publications

References 13 publications

A Cooperative Trajectory Optimization Algorithm for Connected Vehicles in Merging Zones

A Cooperative Trajectory Optimization Algorithm for Connected Vehicles in Merging Zones

Corridor-Wise Eco-Friendly Cooperative Ramp Management System for Connected and Automated Vehicles

A time and energy efficient merging control for platoon formation of connected and automated electric vehicles at on-ramps

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