Platoon Definitions and Analysis of Correlation Between Number of Platoons and Jamming in Traffic System

Kasture, Prafull; Nishimura, Hidekazu

doi:10.1109/tits.2019.2957388

Cited by 8 publications

(2 citation statements)

References 23 publications

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“…The platooning of vehicles on the highway, known as the control of vehicle platoons, can improve road safety and traffic efficiency, alleviate traffic congestion and reduce energy consumption [1,2]. The main goal of platooning is to ensure a group of vehicles travel in a string with a desired velocity and maintain an anticipated inter-vehicle spacing [3]. It is noticed that most of the existing platoon control schemes focus on pure connected autonomous vehicles (CAVs) [4,5].…”

Section: Introductionmentioning

confidence: 99%

Cooperative predictive control for arbitrarily mixed vehicle platoons with guaranteed global optimality

Zhan

Hua

Zhang

2023

IET Intelligent Trans Sys

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This paper studies the cooperative control problem of a mixed vehicle platoon, which is composed of connected autonomous vehicles (CAVs) and human‐driven vehicles (HDVs) in an arbitrary order. An alternating direction method of multipliers (ADMM) based distributed model predictive control (DMPC) algorithm is proposed for CAVs to lead the mixed vehicle platoon travelling in a string with anticipated inter‐vehicle spacing and a desired velocity. First, the mixed vehicle platoon is divided into multiple interrelated sub‐platoons with any two adjacent sub‐platoons having a common CAV, and then a generic model is constructed for each sub‐platoon based on the intelligent driver model for HDV and the kinematic model for CAV, respectively. Second, a local MPC controller is designed for each sub‐platoon to optimize the control inputs of CAVs with the objective of minimizing the position and velocity errors of all vehicles in the sub‐platoon, and then the ADMM is utilized to obtain the global optimal solution among local MPC controllers of all sub‐platoons. Finally, numerical simulations and experiments are carried out to verify the effectiveness of the proposed DMPC algorithm, the results of which reveal that it can reduce the computation cost significantly and ensure the control performance comparable to the centralized MPC algorithm.

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Section: Introductionmentioning

confidence: 99%

Cooperative predictive control for arbitrarily mixed vehicle platoons with guaranteed global optimality

Zhan

Hua

Zhang

2023

IET Intelligent Trans Sys

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“…Ants use the collected information for efficient transportation, food exploration, immigration, and the colony’s defense [ 12 ]. The transportations in ant colony have remarkable similarities with vehicular traffic systems [ 12 , 13 , 14 , 15 , 16 ]. Thus, it is argued that the collective movement of ants on trails [here onwards called as “ant traffic” (AT)] is analogous to vehicular transportation network [ 11 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Cooperative Perception in Ant Traffic and Its Effects on Transportation System by Using a Congestion-Free Ant-Trail Model

Kasture

Nishimura

2021

Sensors

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We investigated agent-based model simulations that mimic an ant transportation system to analyze the cooperative perception and communication in the system. On a trail, ants use cooperative perception through chemotaxis to maintain a constant average velocity irrespective of their density, thereby avoiding traffic jams. Using model simulations and approximate mathematical representations, we analyzed various aspects of the communication system and their effects on cooperative perception in ant traffic. Based on the analysis, insights about the cooperative perception of ants which facilitate decentralized self-organization is presented. We also present values of communication-parameters in ant traffic, where the system conveys traffic conditions to individual ants, which ants use to self-organize and avoid traffic-jams. The mathematical analysis also verifies our findings and provides a better understanding of various model parameters leading to model improvements.

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A comprehensive overview of the alignment between platoon control approaches and clustering strategies

Nandhini,

Rabik

2024

Green Energy and Intelligent Transportation

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Platoon Definitions and Analysis of Correlation Between Number of Platoons and Jamming in Traffic System

Cited by 8 publications

References 23 publications

Cooperative predictive control for arbitrarily mixed vehicle platoons with guaranteed global optimality

Cooperative predictive control for arbitrarily mixed vehicle platoons with guaranteed global optimality

Analysis of Cooperative Perception in Ant Traffic and Its Effects on Transportation System by Using a Congestion-Free Ant-Trail Model

A comprehensive overview of the alignment between platoon control approaches and clustering strategies

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