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    Longitudinal and Lateral Coordinated Control of a Platoon Based on Improved Intelligent Driver Model

    Source: Journal of Highway and Transportation Research and Development (English Edition):;2022:;Volume ( 016 ):;issue: 003::page 85-93
    Author:
    Pin-pin Qin
    ,
    Hong-yun Tan
    ,
    Shun-feng Zhang
    ,
    Zi-ming Li
    ,
    Jun-ming Huang
    DOI: 10.1061/JHTRCQ.0000836
    Publisher: ASCE
    Abstract: To study the influence of road geometric parameters such as curve, superelevation, and slope on the longitudinal and lateral coordinated control of an intelligent and connected platoon, a cooperative control system using the longitudinal velocity of the vehicle as the coupled variable of the longitudinal and lateral motion is designed. The upper acceleration model of longitudinal car-following control adopted the improved intelligent driver model to reflect the influence of road geometric parameters on the car-following behavior. This was combined with the inverse longitudinal dynamics model to realize the speed-following of the guided vehicle. The lateral trajectory control adopted the single-point preview model in which the preview distance follows the coupling speed change to realize the trajectory tracking of the guided vehicle, and the sliding mode controller is designed to improve trajectory tracking accuracy. The Carsim/Simulink cosimulation platform was built, then acceleration–deceleration, double shifting line, and ramp conditions were adopted to verify longitudinal, lateral, and cooperative control performance of the cooperative control system. The results show that: (1) the longitudinal and lateral cooperative control system has good longitudinal car-following performance and high lateral trajectory tracking accuracy, and it maintains high tracking accuracy for the speed and acceleration of the guided vehicle. The distance between vehicles is positively correlated with speed changes, and the intervehicle distance tends to be stable when the speed is stable. Meanwhile, the steering angle of the control system has a high consistency with the Carsim’s built-in model, and the steering is smooth. The lateral offset is less than 0.2 meters, and the control system with sliding mode control has higher trajectory tracking accuracy. (2) The intelligent and connected platoon composed of the coordinated control system based on the IIDM has more obvious longitudinal and lateral response to the road geometric parameters than the platoon of the IDM. The specific performance is that the deceleration behavior is more obvious, the intervehicle distance increase by 0.55 meters, the steering angle reduce, and average lateral offsets reduce by 2.51×10−6  meters, which is more conducive to the overall safety of the platoon.
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      Longitudinal and Lateral Coordinated Control of a Platoon Based on Improved Intelligent Driver Model

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4289477
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    • Journal of Highway and Transportation Research and Development (English Edition)

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    contributor authorPin-pin Qin
    contributor authorHong-yun Tan
    contributor authorShun-feng Zhang
    contributor authorZi-ming Li
    contributor authorJun-ming Huang
    date accessioned2023-04-07T00:39:17Z
    date available2023-04-07T00:39:17Z
    date issued2022/09/01
    identifier otherJHTRCQ.0000836.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289477
    description abstractTo study the influence of road geometric parameters such as curve, superelevation, and slope on the longitudinal and lateral coordinated control of an intelligent and connected platoon, a cooperative control system using the longitudinal velocity of the vehicle as the coupled variable of the longitudinal and lateral motion is designed. The upper acceleration model of longitudinal car-following control adopted the improved intelligent driver model to reflect the influence of road geometric parameters on the car-following behavior. This was combined with the inverse longitudinal dynamics model to realize the speed-following of the guided vehicle. The lateral trajectory control adopted the single-point preview model in which the preview distance follows the coupling speed change to realize the trajectory tracking of the guided vehicle, and the sliding mode controller is designed to improve trajectory tracking accuracy. The Carsim/Simulink cosimulation platform was built, then acceleration–deceleration, double shifting line, and ramp conditions were adopted to verify longitudinal, lateral, and cooperative control performance of the cooperative control system. The results show that: (1) the longitudinal and lateral cooperative control system has good longitudinal car-following performance and high lateral trajectory tracking accuracy, and it maintains high tracking accuracy for the speed and acceleration of the guided vehicle. The distance between vehicles is positively correlated with speed changes, and the intervehicle distance tends to be stable when the speed is stable. Meanwhile, the steering angle of the control system has a high consistency with the Carsim’s built-in model, and the steering is smooth. The lateral offset is less than 0.2 meters, and the control system with sliding mode control has higher trajectory tracking accuracy. (2) The intelligent and connected platoon composed of the coordinated control system based on the IIDM has more obvious longitudinal and lateral response to the road geometric parameters than the platoon of the IDM. The specific performance is that the deceleration behavior is more obvious, the intervehicle distance increase by 0.55 meters, the steering angle reduce, and average lateral offsets reduce by 2.51×10−6  meters, which is more conducive to the overall safety of the platoon.
    publisherASCE
    titleLongitudinal and Lateral Coordinated Control of a Platoon Based on Improved Intelligent Driver Model
    typeJournal Article
    journal volume16
    journal issue3
    journal titleJournal of Highway and Transportation Research and Development (English Edition)
    identifier doi10.1061/JHTRCQ.0000836
    journal fristpage85-93
    journal lastpage85_93_9
    page9
    treeJournal of Highway and Transportation Research and Development (English Edition):;2022:;Volume ( 016 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian