Open AccessControl design for stable connected cruise control systems to enhance safety and traffic efficiency
Author(s) -
Qin Yanyan,
Wang Hao,
Ran Bin
Publication year - 2018
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.2018.5271
Subject(s) - cruise control , stability (learning theory) , automotive engineering , control theory (sociology) , cruise , control (management) , range (aeronautics) , engineering , function (biology) , computer science , simulation , control engineering , aerospace engineering , artificial intelligence , machine learning , evolutionary biology , biology
To enhance safety and traffic efficiency, stability of a mixed human and connected cruise control (CCC) system is studied. The authors consider individual vehicle platoons, in which the tail CCC vehicle receives feedback from multiple human‐driven vehicles ahead via vehicle‐to‐vehicle communications, with the objective of stability analysis and feedback control design. To deal with this, the transfer function theory is used. Simulations are also performed to evaluate impacts of the mixed human and CCC system on safety and traffic efficiency. Results show that the output bounds of the CCC feedback coefficients can be appropriately designed to keep local individual vehicle platoons stable for all possible vehicle speeds. The feedback coefficient has a larger design range and the required lower bound value decreases as the feedback length increases. Additionally, the system design would improve traffic safety and efficiency even at lower CCC vehicle penetration rates.