Open AccessClustered car‐following strategy for improving car‐following stability under Cooperative Vehicles Infrastructure Systems
Author(s) -
Shi YunFeng,
Yang LiCai,
Hao ShenXue,
Liu Qian
Publication year - 2016
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2015.0019
Subject(s) - automotive engineering , stability (learning theory) , computer science , transport engineering , engineering , machine learning
In this study, the problem of car‐following stability is considered. This study presents a clustered car‐following strategy based on inter‐vehicle communications (IVCs), which contributes to derive a more accurate feedback control for improving the stability. In order to maintain car‐following stability, two conditions are considered, which are based on the control theory and a modified optimal velocity car‐following model. In simulations, the results demonstrate that the strategy is effective on the stability of car‐following, and the effect becomes more obvious as the market penetration rates of IVC‐equipped vehicles increase. Even in low market penetration rate (5%), the proposed strategy has significant influence on the stability and the recovering time.