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Author:

Li, Shuqing (Li, Shuqing.) | Qin, Yanyan (Qin, Yanyan.) | He, Zhengbing (He, Zhengbing.)

Indexed by:

Scopus SCIE

Abstract:

String stability analysis is one of key factors to understanding traffic flow dynamics. Cooperative adaptive cruise control (CACC) vehicles are desired to enhance stability of vehicular flow by monitoring multiple vehicles. From the perspective of mixed traffic, this study proposes a generalized analysis method for CACC feedback gains to achieve stable mixed flow. To deal with this, a random mixed flow is divided into general small platoons, in which one tail CACC monitors multiple vehicles ahead. These general platoons with different lengths are defined as connected vehicular systems. Based on the generalized car-following models, transfer function theory is employed to derive string stability criteria that can keep these connected vehicular systems stable for all possible vehicle speeds. A case study is also carried out to validate usability of the proposed generalized work. The proposed generalized method is applicable to various car-following models and large connected vehicular systems, thereby helping achieving the string stability enhancement of mixed traffic flow. (C) 2021 American Society of Civil Engineers.

Keyword:

Car-following model Mixed traffic flow String stability Cooperative adaptive cruise control (CACC)

Author Community:

  • [ 1 ] [Li, Shuqing]Chongqing Jiaotong Univ, Sch Traff & Transportat, Xuefu Rd 66, Chongqing 400074, Peoples R China
  • [ 2 ] [Qin, Yanyan]Chongqing Jiaotong Univ, Sch Traff & Transportat, Xuefu Rd 66, Chongqing 400074, Peoples R China
  • [ 3 ] [He, Zhengbing]Beijing Univ Technol, Beijing Key Lab Traff Engn, Pingleyuan 100, Beijing 100024, Peoples R China

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Source :

JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS

ISSN: 2473-2907

Year: 2021

Issue: 8

Volume: 147

2 . 1 0 0

JCR@2022

JCR Journal Grade:3

Cited Count:

WoS CC Cited Count: 11

SCOPUS Cited Count: 12

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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